OnlyDataJobs.com

Vector Consulting, Inc
  • Atlanta, GA
 

Our Government client is looking for an experienced ETL Developer on a renewable contract in Atlanta, GA

Position ETL Developer

The desired candidate will be responsible for design, development, testing, maintenance and support of complex data extract, transformation and load (ETL) programs for an Enterprise Data Warehouse. An understanding of how complex data should be transformed from the source and loaded into the data warehouse is a critical part of this job.

  • Deep hands-on experience on OBIEE RPD & BIP Reporting Data models, Development for seamless cross-functional and cross-systems data reporting
  • Expertise and solid experience in BI Tools OBIEE, Oracle Data Visualization and Power BI
  • Strong Informatica technical knowledge in design, development and management of complex Informatica mappings, sessions and workflows on Informatica Designer Components -Source Analyzer, Warehouse Designer, Mapping Designer & Mapplet Designer, Transformation Developer, Workflow Manager and Workflow Monitor.
  • Strong programming skills, relational database skills with expertise in Advanced SQL and PL/SQL, indexing and query tuning
  • Having implemented Advanced Analytical models in Python or R
  • Experienced in Business Intelligence and Data warehousing concepts and methodologies.
  • Extensive experience in data analysis and root cause analysis and proven problem solving and analytical thinking capabilities.
  • Analytical capabilities to slice and dice data and display data in reports for best user experience.
  • Demonstrated ability to review business processes and translate into BI reporting and analysis solutions.
  • Ability to follow Software Development Lifecycle (SDLC) process and should be able to work under any project management methodologies used.
  • Ability to follow best practices and standards.
  • Ability to identify BI application performance bottlenecks and tune.
  • Ability to work quickly and accurately under pressure and project time constraints
  • Ability to prioritize workload and work with minimal supervision
  • Basic understanding of software engineering principles and skills working on Unix/Linux/Windows Operating systems, Version Control and Office software
  • Exposure Data Modeling using Star/Snowflake Schema Design, Data Marts, Relational and Dimensional Data Modeling, Slowly Changing Dimensions, Fact and Dimensional tables, Physical and Logical data modeling and in big data technologies
  • Experience with Big Data Lake / Hadoop implementations

 Required Qualifications:

  • A bachelors degree in Computer Science or related field
  • 6 to 10 years of experience working with OBIEE / Data Visualization / Informatica / Python
  • Ability to design and develop complex Informatica mappings, sessions, workflows and identify areas of optimizations
  • Experience with Oracle RDBMS 12g
  • Effective communication skills (both oral and written) and the ability to work effectively in a team environment are required
  • Proven ability and desire to mentor/coach others in a team environment
  • Strong analytical, problem solving and presentation skills.

Preferred Qualifications:

  • Working knowledge with Informatica Change Data Capture installed on DB2 z/OS
  • Working knowledge of Informatica Power Exchange
  • Experience with relational, multidimensional and OLAP techniques and technology
  • Experience with OBIEE tools version 10.X
  • Experience with Visualization tools like MS Power BI, Tableau, Oracle DVD
  • Experience with Python building predictive models

Soft Skills:

  • Strong written and oral communication skills in English Language
  • Ability to work with Business and communicate technical solution to solve business problems

About Vector:

Vector Consulting, Inc., (Headquartered in Atlanta) is an IT Talent Acquisition Solutions firm committed to delivering results. Since our founding in 1990, we have been partnering with our customers, understanding their business, and developing solutions with a commitment to quality, reliability and value. Our continuing growth has been and continues to be built around successful relationships that are based on our organization's operating philosophy and commitment to ** People, Partnerships, Purpose and Performance - THE VECTOR WAY

Visa
  • Austin, TX
Company Description
Visa operates the world's largest retail electronic payments network and is one of the most recognized global financial services brands. Visa facilitates global commerce through the transfer of value and information among financial institutions, merchants, consumers, businesses and government entities. We offer a range of branded payment product platforms, which our financial institution clients use to develop and offer credit, charge, deferred debit, prepaid and cash access programs to cardholders. Visa's card platforms provide consumers, businesses, merchants and government entities with a secure, convenient and reliable way to pay and be paid in 170 countries and territories.
Job Description
At Visa University, our mission is to turn our learning data into insights and get a deep understanding of how people use our resources to impact the product, strategy and direction of Visa University. In order to help us achieve this we are looking for someone who can build and scale an efficient analytics data suite and also deliver impactful dashboards and visualizations to track strategic initiatives and enable self-service insight delivery. The Staff Software Engineer, Learning & Development Technology is an individual contributor role within Corporate IT in our Austin-based Technology Hub. In this role you will participate in design, development, and technology delivery projects with many leadership opportunities. Additionally, this position provides application administration and end-user support services. There will be significant collaboration with business partners, multiple Visa IT teams and third-party vendors. The portfolio includes SaaS and hosted packaged applications as well as multiple content providers such as Pathgather (Degreed), Cornerstone, Watershed, Pluralsight, Lynda, Safari, and many others.
The ideal candidate will bring energy and enthusiasm to evolve our learning platforms, be able to easily understand business goals/requirements and be forward thinking to identify opportunities that may be effectively resolved with technology solutions. We believe in leading by example, ownership with high standards and being curious and creative. We are looking for an expert in business intelligence, data visualization and analytics to join the Visa University family and help drive a data-first culture across learning.
Responsibilities
  • Engage with product managers, design team and student experience team in Visa University to ensure that the right information is available and accessible to study user behavior, to build and track key metrics, to understand product performance and to fuel the analysis of experiments
  • Build lasting solutions and datasets to surface critical data and performance metrics and optimize products
  • Build and own the analytics layer of our data environment to make data standardized and easily accessible
  • Design, build, maintain and iterate a suite of visual dashboards to track key metrics and enable self-service data discovery
  • Participate in technology project delivery activities such as business requirement collaboration, estimation, conceptual approach, design, development, test case preparation, unit/integration test execution, support process documentation, and status updates
  • Participate in vendor demo and technical deep dive sessions for upcoming projects
  • Collaborate with, and mentor, data engineers to build efficient data pipelines and impactful visualizations
Qualifications
  • Minimum 8 years of experience in a business intelligence, data analysis or data visualization role and a degree in science, computer science, statistics, economics, mathematics, or similar
  • Significant experience in designing analytical data layers and in conducting ETL with very large and complex data sets
  • Expertise with Tableau desktop software (techniques such as LOD calculations, calculated fields, table calculations, and dashboard actions)
  • Expert in data visualization
  • High level of ability in JSON, SQL
  • Experience with Python is a must and experience with data science libraries is a plus (NumPy, Pandas, SciPy, Scikit Learn, NLTK, Deep Learning(Keras)
  • Experience with Machine Learning algorithms (Linear Regression, Multiple Regression, Decision Trees, Random Forest, Logistic Regression, Naive Bayes, SVM, K-means, K-nearest neighbor, Hierarchical Clustering)
  • Experience with HTML and JavaScript
  • Basic SFTP and encryption knowledge
  • Experience with Excel (Vlookups, pivots, macros, etc.)
  • Experience with xAPI is a plus
  • Ability to leverage HR systems such as Workday, Salesforce etc., to execute the above responsibilities
  • Understanding of statistical analysis, quantitative aptitude and the ability to gather and interpret data and information
  • You have a strong business sense and you are able to translate business problems to data driven solutions with minimal oversight
  • You are a communicative person who values building strong relationships with colleagues and stakeholders, enjoys mentoring and teaching others and you have the ability to explain complex topics in simple terms
Additional Information
All your information will be kept confidential according to EEO guidelines.
Job Number: REF15081Q
Brighter Brain
  • Atlanta, GA

Brighter Brain is seeking a skilled professional to serve as an internal resource for our consulting firm in the field of Data Science Development. Brighter Brain provides Fortune 500 clients throughout the United States with IT consultants in a wide-ranging technical sphere.

In order to fully maintain our incoming nationwide and international hires, we will be hiring a Senior Data Science SME (ML) with practical experience to relocate to Atlanta and coach/mentor our incoming classes of consultants. If you have a strong passion for the Data Science platform and are looking to join a seasoned team of IT professionals, this could be an advantageous next step.

Brighter Brain is an IT Management & Consultingfirm providing a unique take on IT Consulting. We currently offer expertise to US clients in the field of Mobile Development (iOS and Android), Hadoop, Microsoft SharePoint, and Exchange/ Office 365. We are currently seeking a highly skilled professional to serve as an internal resource for our company in the field of Data Science with expertise in Machine Learning (ML)

The ideal candidatewill be responsible for establishing our Data Science practice. The responsibilities include creation of a comprehensive training program, training, mentoring, and supporting ideal candidates, as they progress towards building their career in Data Science Consulting. This position is based out of our head office in Atlanta, GA.

If you have a strong passion for Data Science and are looking to join a seasoned team of IT professionals, this could be an advantageous next step.

The Senior Data Science SMEwill take on the following responsibilities:

-       Design, develop and maintain Data Science training material, focused around: ML Knowledge of DL, NN & NLP is a plus.

-       Interview potential candidates to ensure that they will be successful in the Data Science domain and training.

-       Train, guide and mentor junior to mid-level Data Science developers.

-       Prepare mock interviews to enhance the learning process provided by the company.

-       Prepare and support consultants for interviews for specific assignments involving development and implementation of Data Science.

-       Act as a primary resource for individuals working on a variety of projects throughout the US.

-       Interact with our Executive and Sales team to ensure that projects and employees are appropriately matched.

The ideal candidatewill not only possess a solid knowledge of the realm, but must also have the fluency in the following areas:

-       Hands-on expertise in using Data Science and building machine learning models and Deep learning models

-       Statistics and data modeling experience

-       Strong understanding of data sciences

-       Understanding of Big Data

-       Understanding of AWS and/or Azure

-       Understand the difference between Tensorflow, MxNet, etc

Skills Include:

  • Masters Degree in the Computer Science or mathematics fields

    10+ Years of professional experience in the IT Industry, in the AI realm

  • Strong understanding of MongoDB, Scala, Node.js, AWS, & Cognitive applications
  • Excellent knowledge in Python, Scala, JavaScript and its libraries, Node.js, Python, R and MatLab C/C++ Lua or any proficient AI language of choice
  • NoSQL databases, bot framework, data streaming and integrating unstructured Data Rules engines e.g. drools, ESBs e.g. MuleSoft Computer
  • Vision,Recommendation Systems, Pattern Recognition, Large Scale Data Mining or Artificial Intelligence, Neural Networks
  • Deep Learning frameworks like Tensorflow, Torch, Caffee, Theano, CNTK, cikit-
  • learn, numpy, scipy
  • Working knowledge of ML such as: Naïve Bayes Classification, Ordinary Least
  • Square
  • Regression, Logic Regression, Supportive Vector Machines, Ensemble Methods,
  • Clustering
  • Algorithms, Principal Component Analysis, Singular Value Decomposition, and
  • Independent Component Analysis.  
  • Natural Language Processing (NLP) concepts such as topic modeling, intents,
  • entities, and NLP frameworks such as SpaCy, NLTK, MeTA, gensim or other
  • toolkits for Natural Language Understanding (NLU)
  • Experience data profiling, data cleansing, data wrangling/mungline, ETL
  • Familiarity with Spark MLlib, Mahout Google, Bing, and IBM Watson APIs
  • Hands on experience as needed with training a variety of consultants
  • Analytical and problem-solving skills
  • Knowledge of IOT space
  • Understand Academic Data Science vs Corporate Data Science
  • Knowledge of the Consulting/Sales structure

Additional details about the position:

-       Able to relocate to Atlanta, Ga (Relocation package available)

-       Work schedule of 9 AM to 6 PM EST

Questions: Send your resume to Ansel Butler at Brighter Brain; make sure that there is a valid phone number and Skype ID either on the resume, or in the body of the email.

Ansel Essic Butler

EMAIL: ANSEL.BUTLER@BRIGHTERBRAIN.COM

404 791 5128

SKYPE: ANSEL.BUTLER@OUTLOOK.COM

Senior Corporate Recruiter

Brighter Brain LLC.

1785 The Exchange, Suite 200

Atlanta, GA. 30339

Intercontinental Exchange
  • Atlanta, GA
Job Purpose
The Data Analytics team is seeing a dynamic, self-motivated Data Scientist, who is able to work independently on data analysis, datamining, report development and customer requirement gathering.
Responsibilities
  • Applies data analysis and data modeling techniques, based upon a detailed understanding of the corporate information requirements, to establish, modify, or maintain data structures and their associated components
  • Participates in the development and maintenance of corporate data standards
  • Supports stakeholders and business users to define data and analytic requirements
  • Works with the business to identify additional internal and external data sources to bring into the data environment and mesh with existing data
  • Story board, create, ad publish standard reports, data visualizations, analysis and presentations
  • Develop and implement workflows using Alteryx and/or R
  • Develop and implement various operational and sales Tableau dashboards
Knowledge And Experience
  • Bachelors degree in statistics/engineering/math/quantitative analytics/economics/finance or a related quantitative discipline required
  • Masters in engineering/physics/statistics/economics/math/science preferred
  • 1+ years of experience with data science techniques and real-world application experience
  • 2+ years of experience supporting the development of analytics solutions leveraging tools like Tableau Desktop and Tableau Online
  • 1+ years of experience working with SQL, developing complex SQL queries, and leveraging SQL in Tableau
  • 1+ years of experience in Alteryx, and R coding
  • Deep understanding of Data Governance and Data Modeling
  • Ability to actualize requirements
  • Advanced written and oral communication skills with the ability to summarize findings and present in a clear, concise manner to peers, management, and others
Additional Information
    • Job Type Standard
    • Schedule Full-time
Man AHL
  • London, UK

The Role


As a Quant Platform Developer at AHL you will be building the tools, frameworks, libraries and applications which power our Quantitative Research and Systematic Trading. This includes responsibility for the continued success of “Raptor”, our in-house Quant Platform, next generation Data Engineering, and evolution of our production Trading System as we continually expand the markets and types of assets we trade, and the styles in which we trade them. Your challenges will be varied and might involve building new high performance data acquisition and processing pipelines, cluster-computing solutions, numerical algorithms, position management systems, visualisation and reporting tools, operational user interfaces, continuous build systems and other developer productivity tools.


The Team


Quant Platform Developers at AHL are all part of our broader technology team, members of a group of over sixty individuals representing eighteen nationalities. We have varied backgrounds including Computer Science, Mathematics, Physics, Engineering – even Classics - but what unifies us is a passion for technology and writing high-quality code.



Our developers are organised into small cross-functional teams, with our engineering roles broadly of two kinds: “Quant Platform Developers” otherwise known as our “Core Techs”, and “Quant Developers” which we often refer to as “Sector Techs”. We use the term “Sector Tech” because some of our teams are aligned with a particular asset class or market sector. People often rotate teams in order to learn more about our system, as well as find the position that best matches their interests.


Our Technology


Our systems are almost all running on Linux and most of our code is in Python, with the full scientific stack: numpy, scipy, pandas, scikit-learn to name a few of the libraries we use extensively. We implement the systems that require the highest data throughput in Java. For storage, we rely heavily on MongoDB and Oracle.



We use Airflow for workflow management, Kafka for data pipelines, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker for containerisation, OpenStack for our private cloud, Ansible for architecture automation, and HipChat for internal communication. But our technology list is never static: we constantly evaluate new tools and libraries.


Working Here


AHL has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to grow and have enormous impact on what we do.  We are actively engaged with the broader technology community.



  • We host and sponsor London’s PyData and Machine Learning Meetups

  • We open-source some of our technology. See https://github.com/manahl

  • We regularly talk at leading industry conferences, and tweet about relevant technology and how we’re using it. See @manahltech



We’re fortunate enough to have a fantastic open-plan office overlooking the River Thames, and continually strive to make our environment a great place in which to work.



  • We organise regular social events, everything from photography through climbing, karting, wine tasting and monthly team lunches

  • We have annual away days and off-sites for the whole team

  • We have a canteen with a daily allowance for breakfast and lunch, and an on-site bar for in the evening

  • As well as PC’s and Macs, in our office you’ll also find numerous pieces of cool tech such as light cubes and 3D printers, guitars, ping-pong and table-football, and a piano.



We offer competitive compensation, a generous holiday allowance, various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications.


Technology and Business Skills


At AHL we strive to hire only the brightest and best and most highly skilled and passionate technologists.



Essential



  • Exceptional technology skills; recognised by your peers as an expert in your domain

  • A proponent of strong collaborative software engineering techniques and methods: agile development, continuous integration, code review, unit testing, refactoring and related approaches

  • Expert knowledge in one or more programming languages, preferably Python, Java and/or C/C++

  • Proficient on Linux platforms with knowledge of various scripting languages

  • Strong knowledge of one or more relevant database technologies e.g. Oracle, MongoDB

  • Proficient with a range of open source frameworks and development tools e.g. NumPy/SciPy/Pandas, Pyramid, AngularJS, React

  • Familiarity with a variety of programming styles (e.g. OO, functional) and in-depth knowledge of design patterns.



Advantageous



  • An excellent understanding of financial markets and instruments

  • Experience of front office software and/or trading systems development e.g. in a hedge fund or investment bank

  • Expertise in building distributed systems with service-based or event-driven architectures, and concurrent processing

  • A knowledge of modern practices for data engineering and stream processing

  • An understanding of financial market data collection and processing

  • Experience of web based development and visualisation technology for portraying large and complex data sets and relationships

  • Relevant mathematical knowledge e.g. statistics, asset pricing theory, optimisation algorithms.


Personal Attributes



  • Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university

  • Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others

  • Demonstrable passion for technology e.g. personal projects, open-source involvement

  • Intellectually robust with a keenly analytic approach to problem solving

  • Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities

  • Focused on delivering value to the business with relentless efforts to improve process

  • Strong interpersonal skills; able to establish and maintain a close working relationship with quantitative researchers, traders and senior business people alike

  • Confident communicator; able to argue a point concisely and deal positively with conflicting views.

Comcast
  • Philadelphia, PA

Comcast's Technology & Product organization works at the intersection of media and technology. Our innovative teams are continually developing and delivering products that transform the customer experience. From creating apps like TVGo to new features such as the Talking Guide on the X1 platform, we work every day to make a positive impact through innovation in the pursuit of building amazing products that are enjoyable, easy to use and accessible across all platforms. The team also develops and supports our evolving network architecture, including next-generation consumer systems and technologies, infrastructure and engineering, network integration and management tools, and technical standards.

As a Data Science Engineer in Comcastdx, you will research, model, develop, support data pipelines and deliver insights for key strategic initiatives. You will develop or utilize complex programmatic and quantitative methods to find patterns and relationships in data sets; lead statistical modeling, or other data-driven problem-solving analysis to address novel or abstract business operation questions; and incorporate insights and findings into a range of products.

Assist in design and development of collection and enrichment components focused on quality, timeliness, scale and reliability. Work on real-time data stores and a massive historical data store using best-of-breed and industry leading technology.

Responsibilities:

-Develop and support data pipelines

-Analyze massive amounts of data both in real-time and batch processing utilizing Spark, Kafka, and AWS technologies such as Kinesis, S3, ElastiSearch, and Lambda

-Create detailed write-ups of processes used, logic applied, and methodologies used for creation, validation, analysis, and visualizations. Write ups shall occur initially, within a week of when process is created, and updated in writing when changes occur.

-Prototype ideas for new ML/AI tools, products and services

-Centralize data collection and synthesis, including survey data, enabling strategic and predictive analytics to guide business decisions

-Provide expert and professional data analysis to implement effective and innovative solutions meshing disparate data types to discover insights and trends.

-Employ rigorous continuous delivery practices managed under an agile software development approach

-Support DevOps practices to deploy and operate our systems

-Automate and streamline our operations and processes

-Troubleshoot and resolve issues in our development, test and production environments

Here are some of the specific technologies and concepts we use:

-Spark Core and Spark Streaming

-Machine learning techniques and algorithms

-Java, Scala, Python, R

-Artificial Intelligence

-AWS services including EMR, S3, Lambda, ElasticSearch

-Predictive Analytics

-Tableau, Kibana

-Git, Maven, Jenkins

-Linux

-Kafka

-Hadoop (HDFS, YARN)

Skills & Requirements:

-5-8 years of Java experience, Scala and Python experience a plus

-3+ years of experience as an analyst, data scientist, or related quantitative role.

-3+ years of relevant quantitative and qualitative research and analytics experience. Solid knowledge of statistical techniques.

-Bachelors in Statistics, Math, Engineering, Computer Science, Statistics or related discipline. Master's Degree preferred.

-Experience in software development of large-scale distributed systems including proven track record of delivering backend systems that participate in a complex ecosystem

-Experience with more advanced modeling techniques (eg ML.)

-Distinctive problem solving and analysis skills and impeccable business judgement.

-Experience working with imperfect data sets that, at times, will require improvements to process, definition and collection

-Experience with real-time data pipelines and components including Kafka, Spark Streaming

-Proficient in Unix/Linux environments

-Test-driven development/test automation, continuous integration, and deployment automation

-Excellent communicator, able to analyze and clearly articulate complex issues and technologies understandably and engagingly

-Team player is a must

-Great design and problem-solving skills

-Adaptable, proactive and willing to take ownership

-Attention to detail and high level of commitment

-Thrives in a fast-paced agile environment

About Comcastdx:

Comcastdxis a result driven big data engineering team responsible for delivery of multi-tenant data infrastructure and platforms necessary to support our data-driven culture and organization.dxhas an overarching objective to gather, organize, and make sense of Comcast data with intention to reveal business and operational insight, discover actionable intelligence, enable experimentation, empower users, and delight our stakeholders. Members of thedxteam define and leverage industry best practices, work on large-scale data problems, design and develop resilient and highly robust distributed data organizing and processing systems and pipelines as well as research, engineer, and apply data science and machine intelligence disciplines.

Comcast is an EOE/Veterans/Disabled/LGBT employer

Comcast
  • Philadelphia, PA

Comcast's Technology & Product organization works at the intersection of media and technology. Our innovative teams are continually developing and delivering products that transform the customer experience. From creating apps like TVGo to new features such as the Talking Guide on the X1 platform, we work every day to make a positive impact through innovation in the pursuit of building amazing products that are enjoyable, easy to use and accessible across all platforms. The team also develops and supports our evolving network architecture, including next-generation consumer systems and technologies, infrastructure and engineering, network integration and management tools, and technical standards.

As a Data Science Engineer in Comcastdx, you will research, model, develop, support data pipelines and deliver insights for key strategic initiatives. You will develop or utilize complex programmatic and quantitative methods to find patterns and relationships in data sets; lead statistical modeling, or other data-driven problem-solving analysis to address novel or abstract business operation questions; and incorporate insights and findings into a range of products.

Assist in design and development of collection and enrichment components focused on quality, timeliness, scale and reliability. Work on real-time data stores and a massive historical data store using best-of-breed and industry leading technology.

Responsibilities:

-Develop and support data pipelines

-Analyze massive amounts of data both in real-time and batch processing utilizing Spark, Kafka, and AWS technologies such as Kinesis, S3, ElastiSearch, and Lambda

-Create detailed write-ups of processes used, logic applied, and methodologies used for creation, validation, analysis, and visualizations. Write ups shall occur initially, within a week of when process is created, and updated in writing when changes occur.

-Prototype ideas for new ML/AI tools, products and services

-Centralize data collection and synthesis, including survey data, enabling strategic and predictive analytics to guide business decisions

-Provide expert and professional data analysis to implement effective and innovative solutions meshing disparate data types to discover insights and trends.

-Employ rigorous continuous delivery practices managed under an agile software development approach

-Support DevOps practices to deploy and operate our systems

-Automate and streamline our operations and processes

-Troubleshoot and resolve issues in our development, test and production environments

Here are some of the specific technologies and concepts we use:

-Spark Core and Spark Streaming

-Machine learning techniques and algorithms

-Java, Scala, Python, R

-Artificial Intelligence

-AWS services including EMR, S3, Lambda, ElasticSearch

-Predictive Analytics

-Tableau, Kibana

-Git, Maven, Jenkins

-Linux

-Kafka

-Hadoop (HDFS, YARN)

Skills & Requirements:

-3-5years of Java experience, Scala and Python experience a plus

-2+ years of experience as an analyst, data scientist, or related quantitative role.

-2+ years of relevant quantitative and qualitative research and analytics experience. Solid knowledge of statistical techniques.

-Bachelors in Statistics, Math, Engineering, Computer Science, Statistics or related discipline. Master's Degree preferred.

-Experience in software development of large-scale distributed systems including proven track record of delivering backend systems that participate in a complex ecosystem

-Experience with more advanced modeling techniques (eg ML.)

-Distinctive problem solving and analysis skills and impeccable business judgement.

-Experience working with imperfect data sets that, at times, will require improvements to process, definition and collection

-Experience with real-time data pipelines and components including Kafka, Spark Streaming

-Proficient in Unix/Linux environments

-Test-driven development/test automation, continuous integration, and deployment automation

-Excellent communicator, able to analyze and clearly articulate complex issues and technologies understandably and engagingly

-Team player is a must

-Great design and problem-solving skills

-Adaptable, proactive and willing to take ownership

-Attention to detail and high level of commitment

-Thrives in a fast-paced agile environment

About Comcastdx:

Comcastdxis a result driven big data engineering team responsible for delivery of multi-tenant data infrastructure and platforms necessary to support our data-driven culture and organization.dxhas an overarching objective to gather, organize, and make sense of Comcast data with intention to reveal business and operational insight, discover actionable intelligence, enable experimentation, empower users, and delight our stakeholders. Members of thedxteam define and leverage industry best practices, work on large-scale data problems, design and develop resilient and highly robust distributed data organizing and processing systems and pipelines as well as research, engineer, and apply data science and machine intelligence disciplines.

Comcast is an EOE/Veterans/Disabled/LGBT employer

Accenture
  • San Diego, CA
Job Title: Accenture Digital, Accenture Analytics, Data Science, Consultant
Join Accenture and help transform leading organizations and communities around the world. The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance. Choose Accenture and make delivering innovative work part of your extraordinary career.
People in our Client & Market career track drive profitable growth by developing market-relevant insights to increase market share or create new markets. They progress through required promotion into market-facing roles that have a direct impact on sales.
Accenture Analytics
Accenture Analytics delivers insight driven outcomes at scale to help organizations improve performance. Our extensive capabilities range from accessing and reporting on data to advanced modeling, forecasting, and sophisticated statistical analysis. Specifically we...
    • Help companies better understand consumers and how to connect with them across markets and channels, using data and analytics
    • Design and develop reusable analytical assets using advanced statistical and computational methods
    • Proactively monitor and analyze complex systems to understand, diagnose, and continuously improve key performance indicators
    • Pilot sophisticated advanced analytics & innovative analytics solutions to prove value
    • Work closely with business leaders to understand needs and assist with architecting and deploying innovative solutions
    • Operate at the frontier of innovative analytics; introduce and implement newest market developments & trends in analytics
    • Optimize Resources processes and integrate across the enterprise in order to maximize the opportunities of data, analytics, and outcomes
    • Build, deploy, maintain and scale advanced analytic solutions that reduce complexity and cost
    • Partner and team with technology solution providers to deliver the best solution meeting the needs of our clients
    • Offer our clients end to end solutions and services
Job Description
The Consultant is responsible for delivery on Resources analytics projects. This process requires the use of advanced statistical analysis in a Resources industry.
The Key Responsibilities Include
    • Client-facing interaction including providing analyses, recommendations, presentations and advice to clients.
    • Adapts existing methods and procedures to create possible alternative solutions to moderately complex problems.
    • Understands the strategic direction set by senior management as it relates to team goals.
    • Understands client use cases / user stories and maps them to solutions based on best practice.
    • Uses considerable judgment to determine solution and seeks guidance on complex problems.
    • Primary upward interaction is with direct supervisor. May interact with peers and/or management levels at a client and/or within Accenture.
    • Determines methods and procedures on new assignments with guidance.
    • Decisions often impact the team in which they reside.
    • Project-based analytics including but not limited to: Machine Learning, Predictive Analytics, Comparative Effectiveness Analysis, Failure Analysis, Big Data Analytics, Optimization, Demand Forecasting, Customer Segmentation, Customer Analytic Record.
Basic Qualifications
    • Minimum of Bachelor's Degree required in related field; strong preference for fields of study in the data science, mathematics, economics, statistics, engineering and information management
    • Minimum of 3 years delivery experience in advanced modeling environment: strong understanding of statistical concepts and predictive modeling. (e.g., AI neural networks, multi-scalar dimensional models, logistic regression techniques, machine-based learning, big data platforms, SQL, etc.)
    • Minimum 3 years experience with predictive analytics tools, including at least two of the following: R, SAS, Alteryx, Python, Spark, and Tableau
Preferred Qualifications
    • Minimum of 2 years of experience with consulting or implementing transformational change
    • Experience in the analysis of marketing databases using SAS or other statistical modeling tools.
    • Experience in the following areas: Applied Statistics/Econometrics, Statistical Programming, Database Management & Operations, Digital, Comparative Effectiveness Research
    • Possess a blend of marketing acumen, consulting expertise and analytical capabilities that can create value and insights for our clients.
All of our consulting professionals receive comprehensive training covering business acumen, technical and professional skills development. Youll also have opportunities to hone your functional skills and expertise in an area of specialization. We offer a variety of formal and informal training programs at every level to help you acquire and build specialized skills faster. Learning takes place both on the job and through formal training conducted online, in the classroom, or in collaboration with teammates. The sheer variety of work we do, and the experience it offers, provide an unbeatable platform from which to build a career.
118118Money
  • Austin, TX

Seeking an individual with a keen eye for good design combined with the ability to communicate those designs through informative design artifacts. Candidates should be familiar with an Agile development process (and understand its limitations), able to mediate between product / business needs and developer architectural needs. They should be ready to get their hands dirty coding complex pieces of the overall architecture.

We are .NET Core on the backend, Angular 2 on a mobile web front-end, and native on Android and iOS. We host our code across AWS and on-premises VMs, and use various data backends (SQL Server, Oracle, Mongo).

Very important is interest in (and hopefully, experience with) modern big data pipelines and machine learning. Experience with streaming platforms feeding Apache Spark jobs that train machine learning models would be music to our ears. Financial platforms generate massive amounts of data, and re-architecting aspects of our microservices to support that will be a key responsibility.

118118 Money is a private financial services company with R&D headquartered in Austin along highway 360, in front of the Bull Creek Nature preserve. We have offices around the world, so the candidate should be open to occasional travel abroad. The atmosphere is casual, and has a startup feel. You will see your software creations deployed quickly.

Responsibilities

    • Help us to build a big data pipeline and add machine learning capability to more areas of our platform.
    • Manage code from development through deployment, including support and maintenance.
    • Perform code reviews, assist and coach more junior developers to adhere to proper design patterns.
    • Build fault-tolerant distributed systems.

Requirements

    • Expertise in .NET, C#, HTML5, CSS3, Javascript
    • Experience with some flavor of ASP.NET MVC
    • Experience with SQL Server
    • Expertise in the design of elegant and intuitive REST APIs.
    • Cloud development experience (Amazon, Azure, etc)
    • Keen understanding of security principles as they pertain to service design.
    • Expertise in object-oriented design principles.

Desired

    • Machine Learning experience
    • Mobile development experience
    • Kafka / message streaming experience
    • Apache Spark experience
    • Knowledge of the ins and outs of Docker containers
    • Experience with MongoDB
Ventula Consulting
  • Northampton, UK
  • Salary: £70k - 75k

Lead Software Engineer – Java – Global Bank – Machine Learning / Big Data, to £75k + Exceptional Package


Lead Software Engineer with a strong background in Java development required to join a new innovation focused team working on greenfield projects.


My client is working on a number of cutting edge Machine Learning and AI solutions which are set to revolutionise fraud detection and prevention so this is a great opportunity to make a real impact on the future of Banking technology.


This role would suit a highly ambitious Software Developer who is looking for a genuine challenge.


You will be joining a newly established innovation team within the Bank which consists of highly skilled technical individuals and industry thought leaders.


There is a very real opportunity for rapid career progression into both technical and management focused roles due to the high profile nature of this function.


The ideal Lead Software Engineer will have the following experience:



  • Expert in Java software Development – Java 8 or later versions

  • Experience developing Business Critical systems with low latency performance

  • Development background creating solutions using AWS

  • Any experience in Big Data, MongoDB, Spark, MySQL and React / Node would be nice to have although not a necessity


This role will be based in Northampton and offers a package of between £70-£75k + an exceptional package including Bonus, strong pension, private healthcare and a host of other benefits.

Arcadis
  • Atlanta, GA

Arcadis is seeking a Director of Advanced Analytics to join our North America Digital Team.


The Director of Advanced Analytics (North America) is responsible for the development and implementation of a strategy centered around elevating our current analytics capabilities, identifying use cases within our current business, and identifying new business opportunities anchored around analytics. Together with the core/extended Arcadis Digital team(s) he/she will drive digital change within the organization which includes frequently interacting with Arcadians at all levels from the executive leadership, project managers, and entry level employees in addition to clients by providing technical expertise, guidance, and hands-on support on data processing, analytical models, and visualization techniques.

Key Responsibilities:

Develop capabilities in analytics phases
 

  • Evaluate our existing analytics capabilities and develop a strategy for Analytics in North America, that will create value for our employees, clients, and partners.
  • Develop Arcadiss capabilities in descriptive, predictive, and prescriptive analytics
  • Leading the development of required analytics skills in North America - by a combination of recruiting and training
  • Train our colleagues valuable technical skills on-the-job, which can include data processing, coding models in R, Python, BaysiaLab, etc, creating powerful visualizations and interfaces (e.g. using RShiny or Tableau), and developing the data infrastructure needed


Analytics as a value add to projects
 

  • Advise in the implementation of analytics and data life cycle on projects/programs
  • Capture the resulting insights from the data life cycle
  • Communicate the value of using analytics instead of the traditional way of working
  • Identify where analytics can be used as a differentiator
  • Scope out analytics services and develop monetization strategies
  • Develop powerful use cases, in close collaboration with market leaders and external partners


Advise clients on their analytics journey
 

  • Advising clients on data governance/management
  • Identify new business opportunities with existing and potential clients
  • Participation in design thinking/client visioning workshops


Evangelist/Leader for analytics
 

  • Empower our colleagues to implement analytics on their projects
  • Communicate complex ideas in a simple way using story telling
  • Inspire our colleagues to innovate and adopt of analytics


Develop strategy for analytics on overall business/bring in best practices in analytics
 

  • Integrate yourself within the existing business to evaluate where analytics can be strategically be implemented.
  • Collaborate closely with / support the Chief Digital Officer, North America with taking the lead and providing technical expertise within Analytics
  • Collaborate closely with / support the Global CDO / Analytics team by supporting the development of a global Analytics roadmap and data strategy
  • Participating in regular exchanges with other digital / analytics leaders in other regions


Leadership Requirements
 

  • Proven leadership capabilities
  • Ability to work cross-functionally with all levels of management, both internally and externally.
  • Ability to inspire clients and potential partners with new ideas and discipline combined with pragmatism to implement them rapidly;
  • Ability to develop a plan and approach to strategic problems - communicating and mobilizing teams to deliver against the plan;
  • The ideal candidate: Talented, passionate and high energy leader with a blend of technology/digital savviness and built & natural asset industry knowledge.


Key Requirements
 

  • Deep knowledge and expertise in analytics, including expert knowledge of the common software applications, such as R, Python or database management tools, such as SQL or MongoDB.
  • Complete understanding of cloud technologies
  • Complete understand of data lake implementation and other data governance practices
  • Knowledge of design thinking and client visioning workshops
  • Experience in agile project management and product development


Key Attributes
 

  • Knowledge of best practices in analytics across the industry
  • Broad and strategic perspective on the current and future global technology landscape
  • Credible counterpart for existing or potential partners with strong business acumen combined with solid technical skills;
  • Self-starter, high energy, can work independently and remotely and comfortable with ambiguity;
  • Communication and relationship skills, ability to engage with a broad range of international stakeholders;
  • Ability to work in a global matrix organization and to deal with different cultures worldwide;
  • Proactive, practical, entrepreneurial, open-minded, flexible and creative;
  • Excellent command of English, both spoken and written.
  • Given the international spread of the business a certain level of flexibility in working hours is important.
  • 7+ years of professional experience with an impressive track record in Analytics and bringing data-driven initiatives to success, ideally at the intersection of natural & built assets and analytics/digital


Required Qualifications

  • Masters Degree (preferably in Business Analytics, Data Science or Computer Science) preferred.
  • 10+ years of professional experience with an impressive track record in Analytics


Preferred Qualifications

  • MA/MS/MBA degree from a top-tier university / research institution
American Express
  • Phoenix, AZ

Our Software Engineers not only understand how technology works, but how that technology intersects with the people who count on it every single day. Today, creative ideas, insight and new points of view are at the core of how we craft a more powerful, personal and fulfilling experience for all our customers. So if youre passionate about a career building breakthrough software and making an impact on an audience of millions, look no further.

There are hundreds of chances for you to make your mark on Technology and life at American Express. Heres just some of what youll be doing:

    • Take your place as a core member of an Agile team driving the latest application development practices.
    • Find your opportunity to execute new technologies, write code and perform unit tests, as well as working with data science, algorithms and automation processing
    • Engage your collaborative spirit by Collaborate with fellow engineers to craft and deliver recommendations to Finance, Business, and Technical users on Finance Data Management. 


Qualifications:

  

Are you up for the challenge?


    • 4+ years of Software Development experience.
    • BS or MS Degree in Computer Science, Computer Engineering, or other Technical discipline including practical experience effectively interpreting Technical and Business objectives and challenges and designing solutions.
    • Ability to effectively collaborate with Finance SMEs and partners of all levels to understand their business processes and take overall ownership of Analysis, Design, Estimation and Delivery of technical solutions for Finance business requirements and roadmaps, including a deep understanding of Finance and other LOB products and processes. Experience with regulatory reporting frameworks, is preferred.
    • Hands-on expertise with application design and software development across multiple platforms, languages, and tools: Java, Hadoop, Python, Streaming, Flink, Spark, HIVE, MapReduce, Unix, NoSQL and SQL Databases is preferred.
    • Working SQL knowledge and experience working with relational databases, query authoring (SQL), including working familiarity with a variety of databases(DB2, Oracle, SQL Server, Teradata, MySQL, HBASE, Couchbase, MemSQL).
    • Experience in architecting, designing, and building customer dashboards with data visualization tools such as Tableau using accelerator database Jethro.
    • Extensive experience in application, integration, system and regression testing, including demonstration of automation and other CI/CD efforts.
    • Experience with version control softwares like git, svn and CI/CD testing/automation experience.
    • Proficient with Scaled Agile application development methods.
    • Deals well with ambiguous/under-defined problems; Ability to think abstractly.
    • Willingness to learn new technologies and exploit them to their optimal potential, including substantiated ability to innovate and take pride in quickly deploying working software.
    • Ability to enable business capabilities through innovation is a plus.
    • Ability to get results with an emphasis on reducing time to insights and increased efficiency in delivering new Finance product capabilities into the hands of Finance constituents.
    • Focuses on the Customer and Client with effective consultative skills across a multi-functional environment.
    • Ability to communicate effectively verbally and in writing, including effective presentation skills. Strong analytical skills, problem identification and resolution.
    • Delivering business value using creative and effective approaches
    • Possesses strong business knowledge about the Finance organization, including industry standard methodologies.
    • Demonstrates a strategic/enterprise viewpoint and business insights with the ability to identify and resolve key business impediments.


Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions.

Burnett Specialists / Choice Specialists
  • Houston, TX

Medical Economics & Informatics Analyst

SUMMARY

This position is responsible for supporting business analysis, utilization analysis, performance results monitoring, reports development, and analytical support within the Medical Economics and Informatics Department.

MAJOR RESPONSIBILITIES

Extract, manage, and analyze operational, claims and performance data to identify trends, patterns, insights, and outliers within data.

Translates transactional data into client ready deliverables using visualization tools available, such as Tableau.

Drives a repeatable analytic process, and consistently deliver best-in-class reporting to multiple business stakeholders.

Studies client specific data at multiple geographical and clinical levels to identify utilization and cost trends and provide recommendations and insights.

Contributes in analyzing and developing reports on client specific utilization trends, program savings and performance to be shared with internal Client Services team.

Provides analytical and technical support for development and QA of Client Level Dashboards and other recurrent reporting.

Collaborates on design/development/automatization of Standard Client Reporting Package, including dashboards.

Contributes on data deliverables & takeaways for Quarterly Business Review meetings.

Responsible for ad-hoc Client and Markets requests for mature programs.

Collaborates on processes to integrate new client data (claims/membership) and perform quality control tests.

QUALIFICATIONS & REQUIREMENTS

·         Bachelor Degree or higher in Healthcare Informatics, Health Care Statistics, Public Health Economics, Epidemiology, Mathematics, Computer Science/IT, related field or equivalent experience.

·         3+ years experience in the Healthcare Industry and/or Managed Care Organizations

·         Experience in analytics/informatics and report development is required

·         Experience using Medical Claims data (medical cost, utilization, cost benefit analysis, etc.) is required

·         Experience with Pharmacy claims data and healthcare records is preferred

·         1+ years experience with analytics in data warehouse environment

·         Experience using SQL for report writing and data management

      Direct experience in business intelligence applications, advanced data visualization tools and/or statistical analysis software (such as: SQL/MySQL/R, SAS, Tableau, Minitab, Matlab, Crystal Reports, Business Objects Desktop (Web based) Intelligence, etc.)

      Intermediate to advanced skills with Microsoft Office tools (MS Word, Excel, PowerPoint, Visio, Project) necessary to document, track and present information related to company program/products/clients

      Knowledge of healthcare financial business cycle, healthcare quality reporting and analysis, benchmarking is required

      Knowledge of health system functions, terminology and standard ICD-10 and CPT coding systems is highly desirable

      Excellent critical and analytical thinking skills are highly desirable

      Ability to compile information and prepare reports that are easily translatable for client delivery

Pyramid Consulting, Inc
  • Atlanta, GA

Job Title: Tableau Engineer

Duration: 6-12 Months+ (potential to go perm)

Location: Atlanta, GA (30328) - Onsite

Notes from Manager:

We need a data analyst who knows Tableau, scripting (JSON, Python), Altreyx API, AWS, Analytics.

Description

The Tableau Software engineer will be a key resource to work across our Software Engineering BI/Analytics stack to ensure stability, scalability, and the delivery of valuable BI & Analytics solutions for our leadership teams and business partners. Keys to this position are the ability to excel in identification of problems or analytic gaps and mapping and implementing pragmatic solutions. An excellent blend of analytical, technical and communication skills in a team based environment are essential for this role.

Tools we use: Tableau, Business Objects, AngularJS, OBIEE, Cognos, AWS, Opinion Lab, JavaScript, Python, Jaspersoft, Alteryx and R packages, Spark, Kafka, Scala, Oracle

Your Role:

·         Able to design, build, maintain & deploy complex reports in Tableau

·         Experience integrating Tableau into another application or native platforms is a plus

·         Expertise in Data Visualization including effective communication, appropriate chart types, and best practices.

·         Knowledge of best practices and experience optimizing Tableau for performance.

·         Experience reverse engineering and revising Tableau Workbooks created by other developers.

·         Understand basic statistical routines (mean, percentiles, significance, correlations) with ability to apply in data analysis

·         Able to turn ideas into creative & statistically sound decision support solutions

Education and Experience:

·         Bachelors degree in Computer Science or equivalent work experience

·         3-5 Years of hands on experience in data warehousing & BI technologies (Tableau/OBIEE/Business Objects/Cognos)

·         Three or more years of experience in developing reports in Tableau

·         Have good understanding of Tableau architecture, design, development and end user experience.

What We Look For:

·         Very proficient in working with large Databases in Oracle & Big Data technologies will be a plus.

·         Deep understanding & working experience of data warehouse and data mart concepts.

·         Understanding of Alteryx and R packages is a plus

·         Experience designing and implementing high volume data processing pipelines, using tools such as Spark and Kafka.

·         Experience with Scala, Java or Python and a working knowledge of AWS technologies such as GLUE, EMR, Kinesis and Redshift preferred.

·         Excellent knowledge with Amazon AWS technologies, with a focus on highly scalable cloud-native architectural patterns, especially EMR, Kinesis, and Redshift

·         Experience with software development tools and build systems such as Jenkins

Accenture
  • San Diego, CA
Join Accenture and help transform leading organizations and communities around the world. The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance. Choose Accenture, and make delivering innovative work part of your extraordinary career.
As part of our Data Business Group, you will lead technology innovation for our clients through robust delivery of world-class solutions. You will build better software better! There will never be a typical day and thats why people love it here. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will be part of a highly collaborative and growing network of technology and data experts, who are taking on todays biggest, most complex business challenges using the latest data and analytics technologies. We will nurture your talent in an inclusive culture that values diversity. You will have an opportunity to work in roles such as Data Scientist, Data Engineer, or Chief Data Officer covering all aspects of Data including Data Management, Data Governance, Data Intelligence, Knowledge Graphs, and IoT. Come grow your career in Technology at Accenture!
People in our Client Delivery & Operations career track drive delivery and capability excellence through the design, development and/or delivery of a solution, service, capability or offering. They grow into delivery-focused roles, and can progress within their current role, laterally or upward.
Business & Technology Integration professionals advise upon, design, develop and/or deliver technology solutions that support best practice business changes
The Bus&Industry Integration Assoc Mgr aligning technology with business strategy and goals they working directly with the client gathering requirements to analyze, design and/or implement technology best practice business changes. They are sought out as experts internally and externally for their deep functional or industry expertise, domain knowledge, or offering expertise. They enhance Accenture's marketplace reputation.
Job Description
Data and Analytics professionals define strategies, develop and deliver solutions that enable the collection, processing and management of information from one or more sources, and the subsequent delivery of information to audiences in support of key business processes.
Data Management professionals define strategies and develop/deliver solutions and processes for managing enterprise-wide data throughout the data lifecycle from capture to processing to usage across all layers of the application architecture.
A professional at this position level within Accenture has the following responsibilities:
Identifies, assesses and solves complex business problems for area of responsibility, where analysis of situations or data requires an in-depth evaluation of variable factors.
Closely follows the strategic direction set by senior management when establishing near term goals.
Interacts with senior management at a client and/or within Accentureon matters where they may need to gain acceptance on an alternate approach.
Has some latitude in decision-making. Acts independently to determine methods and procedures on new assignments.
Decisions have a major day to day impact on area of responsibility.
Manages large - medium sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture.
Basic Qualifications
    • Minimum of 3 plus years of hands-on technical experience implementing Big Data solutions utilizing Hadoop or other Data Science and Analytics platforms.
    • Minimum of 3 plus years of experience with a full life cycle development from functional design to deployment
    • Minimum 2 plus years of hands-on technical experience with delivering Big Data Solutions in the cloud with AWS or Azure
    • Minimum 3 plus years of hands-on technical experience in developing solutions utilizing at least two of the following:
    • Kafka based streaming services
    • R Studio
    • Cassandra , MongoDB
    • MapReduce, Pig, Hive
    • Scala, Spark
    • knowledge on Jenkins, Chef, Puppet
  • Bachelor's degree or equivalent years of work experience
  • Ability to travel 100%, Monday- Thursday
Professional Skill Requirements
    • Proven ability to build, manage and foster a team-oriented environment
    • Proven ability to work creatively and analytically in a problem-solving environment
    • Desire to work in an information systems environment
    • Excellent communication (written and oral) and interpersonal skills
    • Excellent leadership and management skills
All of our consulting professionals receive comprehensive training covering business acumen, technical and professional skills development. You'll also have opportunities to hone your functional skills and expertise in an area of specialization. We offer a variety of formal and informal training programs at every level to help you acquire and build specialized skills faster. Learning takes place both on the job and through formal training conducted online, in the classroom, or in collaboration with teammates. The sheer variety of work we do, and the experience it offers, provide an unbeatable platform from which to build a career.
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Accenture.
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Accenture is a federal contractor and an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.
Equal Employment Opportunity
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
ConocoPhillips
  • Houston, TX
Our Company
ConocoPhillips is the worlds largest independent E&P company based on production and proved reserves. Headquartered in Houston, Texas, ConocoPhillips had operations and activities in 17 countries, $71 billion of total assets, and approximately 11,100 employees as of Sept. 30, 2018. Production excluding Libya averaged 1,221 MBOED for the nine months ended Sept. 30, 2018, and proved reserves were 5.0 billion BOE as of Dec. 31, 2017.
Employees across the globe focus on fulfilling our core SPIRIT Values of safety, people, integrity, responsibility, innovation and teamwork. And we apply the characteristics that define leadership excellence in how we engage each other, collaborate with our teams, and drive the business.
Description
The Sr. Analytics Analyst will be part of the Production, Drilling, and Projects Analytics Services Team within the Analytics Innovation Center of Excellence that enables data analytics across the ConocoPhillips global enterprise. This role works with business units and global functions to help strategically design, implement, and support data analytics solutions. This is a full-time position that provides tremendous career growth potential within ConocoPhillips.
Responsibilities May Include
  • Complete end to end delivery of data analytics solutions to the end user
  • Interacting closely with both business and developers while gathering requirements, designing, testing, implementing and supporting solutions
  • Gather business and technical specifications to support analytic, report and database development
  • Collect, analyze and translate user requirements into effective solutions
  • Build report and analytic prototypes based on initial business requirements
  • Provide status on the issues and progress of key business projects
  • Providing regular reporting on the performance of data analytics solutions
  • Delivering regular updates and maintenance on data analytics solutions
  • Championing the data analytics solutions and technologies at ConocoPhillips
  • Integrate data for data models used by the customers
  • Deliver Data Visualizations used for data driven decision making
  • Provide strategic technology direction while supporting the needs of the business
Basic/Required
  • Legally authorized to work in the United States
  • 5+ years of related IT experience
  • 5+ year of Structure Querying Language experience (ANSI SQL, T-SQL, PL/SQL)
  • 3+ years hands-on experience delivering solutions with an Analytics Tools i.e. (Spotfire, SSRS, Power BI, Tableau, Business Objects)
Preferred
  • Bachelor's Degree in Information Technology or Computer Science
  • 5+ years of Oil and Gas Industry experience
  • 5+ years hands-on experience delivering solutions with Informatica PowerCenter
  • 5+ years architecting data warehouses and/or data lakes
  • 5+ years with Extract Transform and Load (ETL) tools and best practices
  • 3+ years hands-on experience delivering solutions with Teradata
  • 1+ years developing analytics models with R or Python
  • 1+ years developing visualizations using R or Python
  • Experience with Oracle (11g, 12c) and SQL Server (2008 R2, 2010, 2016) and Teradata 15.x
  • Experience with Hadoop technologies (Hortonworks, Cloudera, SQOOP, Flume, etc.)
  • Experience with AWS technologies (S3, SageMaker, Athena, EMR, Redshift, Glue, etc.)
  • Thorough understanding of BI/DW concepts, proficient in SQL, and data modeling
  • Familiarity with ETL tools (Informatica, etc.) and ETL processes
  • Solutions oriented individual; learn quickly, understand complex problems, and apply useful solutions
  • Ability to work in a fast-paced environment independently with the customer
  • Ability to work as a team player
  • Ability to work with business and technology users to define and gather reporting and analytics requirements
  • Strong analytical, troubleshooting, and problem-solving skills experience in analyzing and understanding business/technology system architectures, databases, and client applications to recognize, isolate, and resolve problems
  • Demonstrates the desire and ability to learn and utilize new technologies in data analytics solutions
  • Strong communication and presentation skills
  • Takes ownership of actions and follows through on commitments by courageously dealing with important problems, holding others accountable, and standing up for what is right
  • Delivers results through realistic planning to accomplish goals
  • Generates effective solutions based on available information and makes timely decisions that are safe and ethical
To be considered for this position you must complete the entire application process, which includes answering all prescreening questions and providing your eSignature on or before the requisition closing date of February 20, 2019.
Candidates for this U.S. position must be a U.S. citizen or national, or an alien admitted as permanent resident, refugee, asylee or temporary resident under 8 U.S.C. 1160(a) or 1255(a) (1). Individuals with temporary visas such as A, B, C, D, E, F, G, H, I, J, L, M, NATO, O, P, Q, R or TN or who need sponsorship for work authorization in the United States now or in the future, are not eligible for hire.
ConocoPhillips is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, gender identity or expression, genetic information or any other legally protected status.
Job Function
Information Management-Information Technology
Job Level
Individual Contributor/Staff Level
Primary Location
NORTH AMERICA-USA-TEXAS-HOUSTON
Organization
ANALYTICS INNOVATION
Line of Business
Corporate Staffs
Job Posting
Feb 13, 2019, 4:56:49 PM
Accenture
  • Atlanta, GA
Are you ready to step up to the New and take your technology expertise to the next level?
As part of our Data Business Group, you will lead technology innovation for our clients through robust delivery of world-class solutions. You will build better software better! There will never be a typical day and thats why people love it here. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will be part of a highly collaborative and growing network of technology and data experts, who are taking on todays biggest, most complex business challenges using the latest data and analytics technologies. We will nurture your talent in an inclusive culture that values diversity. You will have an opportunity to work in roles such as Data Scientist, Data Engineer, or Chief Data Officer covering all aspects of Data including Data Management, Data Governance, Data Intelligence, Knowledge Graphs, and IoT. Come grow your career in Technology at Accenture!
Join Accenture and help transform leading organizations and communities around the world. The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance. Choose Accenture, and make delivering innovative work part of your extraordinary career.
People in our Client Delivery & Operations career track drive delivery and capability excellence through the design, development and/or delivery of a solution, service, capability or offering. They grow into delivery-focused roles, and can progress within their current role, laterally or upward.
As part of our Advanced Technology & Architecture (AT&A) practice, you will lead technology innovation for our clients through robust delivery of world-class solutions. You will build better software better! There will never be a typical day and thats why people love it here. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will be part of a growing network of technology experts who are highly collaborative taking on todays biggest, most complex business challenges. We will nurture your talent in an inclusive culture that values diversity. Come grow your career in technology at Accenture!
Job Description
Data and Analytics professionals define strategies, develop and deliver solutions that enable the collection, processing and management of information from one or more sources, and the subsequent delivery of information to audiences in support of key business processes.
    • Produce clean, standards based, modern code with an emphasis on advocacy toward end-users to produce high quality software designs that are well-documented.
    • Demonstrate an understanding of technology and digital frameworks in the context of data integration.
    • Ensure code and design quality through the execution of test plans and assist in development of standards, methodology and repeatable processes, working closely with internal and external design, business, and technical counterparts.
Big Data professionals develop deep next generation Analytics skills to support Accenture's data and analytics agendas, including skills such as Data Modeling, Business Intelligence, and Data Management.
A professional at this position level within Accenture has the following responsibilities:
    • Utilizes existing methods and procedures to create designs within the proposed solution to solve business problems.
    • Understands the strategic direction set by senior management as it relates to team goals.
    • Contributes to design of solution, executes development of design, and seeks guidance on complex technical challenges where necessary.
    • Primary upward interaction is with direct supervisor.
    • May interact with peers, client counterparts and/or management levels within Accenture.
    • Understands methods and procedures on new assignments and executes deliverables with guidance as needed.
    • May interact with peers and/or management levels at a client and/or within Accenture.
    • Determines methods and procedures on new assignments with guidance .
    • Decisions often impact the team in which they reside.
    • Manages small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture.
Basic Qualifications
    • Minimum 2 plus years of hands-on technical experience implementing or supporting Big Data solutions utilizing Hadoop.
      Expe
    • rience developing solutions utilizing at least two of the following: Kaf
        k
      • a based streaming services
      • R Studio
      • Cassandra, MongoDB
      • MapReduce, Pig, Hive
      • Scala, Spark
      • Knowledge on Jenkins, Chef, Puppet
Preferred Qualifications
    • Hands-on technical experience utilizing Python
    • Full life cycle development experience
    • Experience with delivering Big Data Solutions in the cloud with AWS or Azure
    • Ability to configure and support API and OpenSource integrations
    • Experience administering Hadoop or other Data Science and Analytics platforms using the technologies above
    • Experience with DevOps support
    • Designing ingestion, low latency, visualization clusters to sustain data loads and meet business and IT expectations
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Accenture (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Accenture is a Federal Contractor and an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.
Equal Employment Opportunity
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
Accenture is committed to providing veteran employment opportunities to our service men and women.
Accenture
  • Raleigh, NC
Are you ready to step up to the New and take your technology expertise to the next level?
As part of our Data Business Group, you will lead technology innovation for our clients through robust delivery of world-class solutions. You will build better software better! There will never be a typical day and thats why people love it here. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will be part of a highly collaborative and growing network of technology and data experts, who are taking on todays biggest, most complex business challenges using the latest data and analytics technologies. We will nurture your talent in an inclusive culture that values diversity. You will have an opportunity to work in roles such as Data Scientist, Data Engineer, or Chief Data Officer covering all aspects of Data including Data Management, Data Governance, Data Intelligence, Knowledge Graphs, and IoT. Come grow your career in Technology at Accenture!
Join Accenture and help transform leading organizations and communities around the world. The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance. Choose Accenture, and make delivering innovative work part of your extraordinary career.
People in our Client Delivery & Operations career track drive delivery and capability excellence through the design, development and/or delivery of a solution, service, capability or offering. They grow into delivery-focused roles, and can progress within their current role, laterally or upward.
As part of our Advanced Technology & Architecture (AT&A) practice, you will lead technology innovation for our clients through robust delivery of world-class solutions. You will build better software better! There will never be a typical day and thats why people love it here. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will be part of a growing network of technology experts who are highly collaborative taking on todays biggest, most complex business challenges. We will nurture your talent in an inclusive culture that values diversity. Come grow your career in technology at Accenture!
Job Description
Data and Analytics professionals define strategies, develop and deliver solutions that enable the collection, processing and management of information from one or more sources, and the subsequent delivery of information to audiences in support of key business processes.
    • Produce clean, standards based, modern code with an emphasis on advocacy toward end-users to produce high quality software designs that are well-documented.
    • Demonstrate an understanding of technology and digital frameworks in the context of data integration.
    • Ensure code and design quality through the execution of test plans and assist in development of standards, methodology and repeatable processes, working closely with internal and external design, business, and technical counterparts.
Big Data professionals develop deep next generation Analytics skills to support Accenture's data and analytics agendas, including skills such as Data Modeling, Business Intelligence, and Data Management.
A professional at this position level within Accenture has the following responsibilities:
    • Utilizes existing methods and procedures to create designs within the proposed solution to solve business problems.
    • Understands the strategic direction set by senior management as it relates to team goals.
    • Contributes to design of solution, executes development of design, and seeks guidance on complex technical challenges where necessary.
    • Primary upward interaction is with direct supervisor.
    • May interact with peers, client counterparts and/or management levels within Accenture.
    • Understands methods and procedures on new assignments and executes deliverables with guidance as needed.
    • May interact with peers and/or management levels at a client and/or within Accenture.
    • Determines methods and procedures on new assignments with guidance .
    • Decisions often impact the team in which they reside.
    • Manages small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture.
Basic Qualifications
    • Minimum 2 plus years of hands-on technical experience implementing or supporting Big Data solutions utilizing Hadoop.
      Expe
    • rience developing solutions utilizing at least two of the following: Kaf
        k
      • a based streaming services
      • R Studio
      • Cassandra, MongoDB
      • MapReduce, Pig, Hive
      • Scala, Spark
      • Knowledge on Jenkins, Chef, Puppet
Preferred Qualifications
    • Hands-on technical experience utilizing Python
    • Full life cycle development experience
    • Experience with delivering Big Data Solutions in the cloud with AWS or Azure
    • Ability to configure and support API and OpenSource integrations
    • Experience administering Hadoop or other Data Science and Analytics platforms using the technologies above
    • Experience with DevOps support
    • Designing ingestion, low latency, visualization clusters to sustain data loads and meet business and IT expectations
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Accenture (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Accenture is a Federal Contractor and an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.
Equal Employment Opportunity
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
Accenture is committed to providing veteran employment opportunities to our service men and women.
Gravity IT Resources
  • Miami, FL

Overview of Position:

We undertaking an ambitious digital transformation across Sales, Service, Marketing, and eCommerce. We are looking for a web data analytics wizard with prior experience in digital data preparation, discovery, and predictive analytics.

The data scientist/web analyst will work with external partners, digital business partners, enterprise analytics, and technology team to strategically plan and develop datasets, measure web analytics, and execute on predictive and prescriptive use cases. The role demands the ability to (1) Learn quickly (2) Work in a fast-paced, team-driven environment (3) Manage multiple efforts simultaneously (4) Adept at using large datasets and using models to test effectiveness of different courses of action (5) Promote data driven decision making throughout the organization (6) Define and measure success of capabilities we provide the organization.


Primary Duties and Responsibilities

    Analy
    • ze data captured through Google Analytics and develop meaningful actionable insights on digital behavior. Put t
    • ogether a customer 360 data frame by connecting CRM Sales, Service, Marketing cloud data with Commerce Web behavior data and wrangle the data into a usable form. Use p
    • redictive modelling to increase and optimize customer experiences across online & offline channels. Evalu
    • ate customer experience and conversions to provide insights & tactical recommendations for web optimization
    • Execute on digital predictive use cases and collaborate with enterprise analytics team to ensure use of best tools and methodologies.
    • Lead support for enterprise voice of customer feedback analytics.
    • Enhance and maintain digital data library and definitions.

Minimum Qualifications

  • Bachelors degree in Statistics, Computer Science, Marketing, Engineering or equivalent
  • 3 years or more of working experience in building predictive models.
  • Experience in Google Analytics or similar web behavior tracking tools is required.
  • Experience in R is a must with working knowledge of connecting to multiple data sources such as amazon redshift, salesforce, google analytics, etc.
  • Working knowledge in machine learning algorithms such as Random Forest, K-means, Apriori, Support Vector machine, etc.
  • Experience in A/B testing or multivariate testing.
  • Experience in media tracking tags and pixels, UTM, and custom tracking methods.
  • Microsoft Office Excel & PPT (advanced).

Preferred Qualifications

  • Masters degree in statistics or equivalent.
  • Google Analytics 360 experience/certification.
  • SQL workbench, Postgres.
  • Alteryx experience is a plus.
  • Tableau experience is a plus.
  • Experience in HTML, JavaScript.
  • Experience in SAP analytics cloud or SAP desktop predictive tool is a plus
Apex Clearing Corporation
  • Dallas, TX

Business Analyst  

Dallas, TX


Apex Clearing was brought to life by the idea that the development of integrative technology can improve how business is done. The passion for that idea powers our firm still. As a Business Analyst at Apex you are free to explore unique solutions and try fresh ideas that may benefit our financial services business. Youll collaborate with Apex's sharpest minds to use data to drive business decision making. Working at Apex Clearing means that youll always be presented with a variety of new possibilities as you continue to enhance your skills.

Were looking for someone who:

  • Is passionate. You have a genuine passion for data, modeling and analysis to drive decision making across all levels of the business. You love using technology differently to maximize insight and business impact and you have a way of bringing out that same fire in the people you work with
  • Is motivated. Youre driven to be the best whether thats decreasing onboarding time or making an innovative change to how its always been done. You challenge yourself by setting goals and exceeding them
  • Is collaborative. Youre excited to work with fellow data junkies and big thinkers. You know how to collaborate across the organization and communicate with less technical team members to find a solution to pain points
  • Wants to make an impact. Youre looking to do amazing work. Youre all about using technology to improve efficiency and effect the company's bottom line.

What youll do all day:

  • Defining and analyzing data that will generate insights and help support our core business
  • Building state of the art models
  • Acting as a thought leader for the firm with your ideas and projects enabling data driven decision making
  • Helping to define best practices within our analytics team to increase efficiency and thus create even more business impact.
  • Collaborating with Analytics team members and people across the business to get the best out of the collective team

A few reasons why you might love us:

  • Were a leader in the space.   Apex is recognized for disrupting the financial services industry, enabling fintech standouts like Stash, Robinhood and Betterment. Weve got an amazing track record of success and we foster ongoing innovation. So you get all the benefits of a proven, growing company, while enjoying a very entrepreneurial culture
  • We see data analytics differently. Youll work with people who apply innovative approaches to analysis and modeling. We are passionate engineers dedicated to finding new and different ways to use technology and data to drive the business forward.
  • Your work will have immediate impact. Youll be able to see your direct impact on our business. You wont be just another talented analyst chained to a desk or ticket queue.

And a few reasons why you may not like working for us:

  • You dont like change. This is not a job for someone who likes predictable. We embrace and drive the business toward needed change for our future success.
  • Youre not the collaborative type. We work together to ensure the best possible solutions for the business. We think two brains are better than one so we do most of our work together and often with other departments. Team work makes the dream work on this team.
  • Youre not a people person. We work with people across the organization to understand the data from a business perspective and ensure our results will be actionable by Apex.

The skills youll need to succeed:  

  • 2-4 years working as a Business Analyst, Quantitative Analyst or comparable experience
  • Experience with MS Excel
  • Experience with SQL and Python or R
  • Experience with relational databases
  • Experience with statistical analysis techniques
  • Familiarity with Sisense, Tableau or similar Data visualization tools