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Reporting into the CEO, as iMoney’s Head of Data Science, you will be the guru for the full-suite of data related services supporting the organization, including reporting and business intelligence, data analytics, data science and the overall data infrastructure.

• Unlock the full potential of the huge amounts of data that has been and is continuously being collected at iMoney


• Craft the data vision and own, identify and implement the data analytics and data science roadmap for the iMoney Group across all business areas


• Be the strategic leader and developmental coach for our current data team comprising two data analysts and build out additional data capabilities within the iMoney Group


• Partner with the different business units and leverage data analytics, insights and science to drive all aspects of the customer conversion funnel including marketing channel attribution and optimization, onsite and offline (call-centre) user behavior and conversion, recommendation engines and product matching, customer segmentation, predictive analysis and propensity modelling


• Utilize best in class practices with respect to data analytics, visualization, reporting dashboards and data science modelling


• Establish iMoney as the market leader in the field of data analytics and innovative data science


• Collaborate with the technology and product teams in continuously enhancing and delivering a robust, efficient and scalable data collection, structuring and warehousing infrastructure

Requirements:

• Passionate about data and its ability to drive high business impact and growth


• 10 years of experience in the field of data analytics and data science, including at least 3 years in a leadership role at a scale-up stage digital consumer business such as e-commerce, online lending platforms, digital banks, online financial marketplaces or similar


• Hands on experience in any of the following tools: R, Python, Knime, SAS, SPSS


• Clear understanding of databases and extensive knowledge of SQL, AWS Redshift, Hadoop, Hive, Teradata, Google Big Query


• Experience in implementing and leveraging Tableau for business reporting and intelligence


• Expertise in applying advanced predictive statistical techniques to develop regression, time-series, segmentation models. Exposure to design of experiments or neural network.


• Responsibility and Attention to Detail - take responsibility for delivery of precise and accurate business intelligence, data analytics and insights to tight timescales and work to resolve problems when they occur


• Project management skills - ability to scope out and implement larger data related projects as per business requirements including clear understanding of resource and timing requirements


• People leadership skills - coaching, inspiring, career counselling, mentoring and capability development of team members and peers


• Excellent stakeholder management, communication and presentation skills – fluent in English, breaking down complex problems with data-driven solutions and having a service-orientated mindset 

Great opportunity to work with the leader in semiconductor industry who unveiled the worlds first 7 nanometer PC platform, created from the ground up for the next generation of personal computing by bringing new features with thin and light designs, allowing for new form factors in the always-on, always-connected category. It features the new octa-core CPU, the fastest CPU ever designed and built, with a larger cache than previous compute platforms, faster multi-tasking and increased productivity for users, disrupting the performance expectations of current thin, light and fanless PC designs. This platform is currently sampling to customers and is expected to begin shipping in commercial devices in Q3 of 2019.

Staff Data Analyst

You will study the performance of the Global Engineering Grid/ Design workflows across engineering grid and provide insights in effective analytics in support of Grid 2.0 program. You will conduct research, design statistical studies and analyze data in support of Grid 2.0 program.  This job will challenge you to dive deep into the engineering grid/ design flow world and understand the unique challenges in operating engineering grid at a scale unrivaled in the industry.  You should have experience working in an EDA or manufacturing environment and comfortable workings in an environment where problems are not always well-defined.

Responsibilities:

• Identify and pursue opportunities to improve the efficiency of global engineering grid and design workflows.
  
• Develop systems to invest, analyze, and take automated action across real-time feeds of high volume data.
  
• Research and implement new analytics approaches effective deployment of machine learning/ data modeling to solve business problems Identify patterns and trends from large, high-dimensional data sets; manipulate data into digestible and actionable reports.
  
• Make business recommendations (e.g. cost-benefit, experiment analysis) with effectivepresentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
  
• Plan effectively to set priorities and manage projects, identify roadblocks and come up technical options.
  

Leverage your 8+ years of experience articulating business questions and using mathematical techniques to arrive at an answer using available data. 3 - 4 yrs advance Tableau is a must. Experience translating analysis results into business recommendations. Experience with statistical software (e.g., R, Python, MATLAB, pandas, scala) and database languages like SQL Experience with data warehousing concepts (Hadoop, mapR) and visualization tools (e.g. QlikView, Tableau, Angular, Thoughtspot). Strong business acumen,critical thinking ability, and attention to detail.

Background in data science, applied mathematics, or computational science and a history of solving difficult problems using a scientific approach with MS or BS degree in a quantitative discipline (e.g., Statistics, Applied Mathematics, Operations Research, Computer Science, Electrical Engineering) and understand how to design scientific studies. You should be familiar with the state of the art in machine learning/ data modeling/ forecasting and optimization techniques in a big data environment.

Data Analytics Software Test Engineer

As a member of the Corporate Engineering Services Group software test team, you will be responsible for testing various cutting edge data analytics products and solutions. You will be working with a dynamic engineering team to develop test plans, execute test plans, automate test cases, and troubleshoot and resolve issues.

Leverage your 1+ years of experience in the following:

• Testing and systems validation for commercial software systems.
  
• Testing of systems deployed in AWS Cloud.
  
• Knowledge of SQL and databases.
  
• Developing and implementing software and systems test plans.
  
• Test automation development using Python or Java.
  
• Strong problem solving and troubleshooting skills.
  
• Experience in testing web-based and Android applications.
  
• Familiar with Qualcomm QXDM and APEX tools.
  
• Knowledge of software development in Python.
  
• Strong written and oral communication skills
  
• Working knowledge of JIRA and GitHub is preferred.
  

Education:

• Required: Bachelor's, Computer Engineering and/or Computer Networks & Systems and/or Computer Science and/or Electrical Engineering
  
• Preferred: Master's, Computer Engineering and/or Computer Networks & Systems and/or Computer Science and/or Electrical Engineering or equivalent experience
  

Interested? Please send a resume to our Founder & CEO, Raj Dadlani at raj@huntech.com and he will respond to interested candidates within 24 hours of resume receipt. We are dealing with a highly motivated hiring manager and shortlisting viable candidates by February 22, 2019.

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

• 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

• 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
  

As a Database engineer in the DevOps team here at Citizens Advice you will help us develop and implement our data strategy. You will have the opportunity to work with both core database technologies and big data solutions.

Past

Starting from scratch, we have built a deep tech-stack with AWS services at its core. We created a new CRM system, migrated a huge amount of data to AWS Aurora PG and used AWS RDS to run some of our business critical databases.

You will have gained a solid background and in-depth knowledge of AWS RDS, SQL/Admin against DBMS's such as PostgreSql / MySQL / SQL Server, Dynamo / Aurora. You will have dealt with Data Warehousing, ETL, DB Mirroring/Replication, and DB Security Mechanisms & Techniques.

Present

We use AWS RDS including Aurora as the standard DB implementation for our applications. We parse data in S3 using Spark jobs and we are planning to implement a data lake solution in AWS.

Our tools and technologies include:

• Postgres on AWS RDS


• SQL Server for our Data Warehouse


• Liquibase for managing the DW schema


• Jenkins 2 for task automation


• Spark / Parquet / AWS Glue for parsing raw data


• Docker / docker-compose for local testing

You will be developing, supporting and maintaining automation tools to drive database, reporting and maintenance tasks.

As part of our internal engineering platform offering, R&D time will give you the opportunity to develop POC solutions to integrate with the rest of the business.

Future

You will seek continuous improvement and implement solutions to help Citizens Advice deliver digital products better and quicker.

You will be helping us implement a data lake solution to improve operations and to offer innovative services.

You will have dedicated investment time at Citizens Advice to learn new skills, technologies, research topics or work on tools that make this possible.

• 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
  

• 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
  

• Job Type Standard
• Schedule Full-time

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'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

• 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
  

• 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.
  

• 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
  

• 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.
  

Fiat Chrysler Automobiles is looking to fill the full-time position of a Data Scientist. This position is responsible for delivering insights to the commercial functions in which FCA operates.

The Data Scientist is a role in the Business Analytics & Data Services (BA) department and reports through the CIO. They will play a pivotal role in the planning, execution  and delivery of data science and machine learning-based projects. The bulk of the work with be in areas of data exploration and preparation, data collection and integration, machine learning (ML) and statistical modelling and data pipe-lining and deployment.

The newly hired data scientist will be a key interface between the ICT Sales & Marketing team, the Business and the BA team. Candidates need to be very much self-driven, curious and creative.

Primary Responsibilities:

• Problem Analysis and Project Management:
• Guide and inspire the organization about the business potential and strategy of artificial intelligence (AI)/data science
• Identify data-driven/ML business opportunities
• Collaborate across the business to understand IT and business constraints
• Prioritize, scope and manage data science projects and the corresponding key performance indicators (KPIs) for success

• Data Exploration and Preparation:
• Apply statistical analysis and visualization techniques to various data, such as hierarchical clustering, T-distributed Stochastic Neighbor Embedding (t-SNE), principal components analysis (PCA)
• Generate and test hypotheses about the underlying mechanics of the business process.
• Network with domain experts to better understand the business mechanics that generated the data.

• Data Collection and Integration:
• Understand new data sources and process pipelines. Catalog and document their use in solving business problems.
• Create data pipelines and assets the enable more efficiency and repeatability of data science activities.

• Data Exploration and Preparation:
• Apply statistical analysis and visualization techniques to various data, such as hierarchical clustering, T-distributed Stochastic Neighbor Embedding (t-SNE), principal components analysis (PCA)

• Machine Learning and Statistical Modelling:
• Apply various ML and advanced analytics techniques to perform classification or prediction tasks
• Integrate domain knowledge into the ML solution; for example, from an understanding of financial risk, customer journey, quality prediction, sales, marketing
• Testing of ML models, such as cross-validation, A/B testing, bias and fairness

• Operationalization:
• Collaborate with ML operations (MLOps), data engineers, and IT to evaluate and implement ML deployment options
• (Help to) integrate model performance management tools into the current business infrastructure
• (Help to) implement champion/challenger test (A/B tests) on production systems
• Continuously monitor execution and health of production ML models
• Establish best practices around ML production infrastructure

• Other Responsibilities:
• Train other business and IT staff on basic data science principles and techniques
• Train peers on specialist data science topics
• Promote collaboration with the data science COE within the organization.

Basic Qualifications:

• A bachelors  in computer science, data science, operations research, statistics, applied mathematics, or a related quantitative field [or equivalent work experience such as, economics, engineering and physics] is required. Alternate experience and education in equivalent areas such as economics, engineering or physics, is acceptable. Experience in more than one area is strongly preferred.

• Candidates should have three to six years of relevant project experience in successfully launching, planning, executing] data science projects. Preferably in the domains of automotive or customer behavior prediction.

• Coding knowledge and experience in several languages: for example, R, Python, SQL, Java, C++, etc.

• Experience of working across multiple deployment environments including cloud, on-premises and hybrid, multiple operating systems and through containerization techniques such as Docker, Kubernetes, AWS Elastic Container Service, and others.

• Experience with distributed data/computing and database tools: MapReduce, Hadoop, Hive, Kafka, MySQL, Postgres, DB2 or Greenplum, etc.

• All candidates must be self-driven, curious and creative.

• They must demonstrate the ability to work in diverse, cross-functional teams.

• Should be confident, energetic self-starters, with strong moderation and communication skills.
• 
  

Preferred Qualifications:

• A master's degree or PhD in statistics, ML, computer science or the natural sciences, especially physics or any engineering disciplines or equivalent.
• Experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
• Knowledge and experience in statistical and data mining techniques: generalized linear model (GLM)/regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, convolutional neural network (CNN), recurrent neural network (RNN), T-distributed Stochastic Neighbor Embedding (t-SNE), graph analysis, etc.
• A specialization in text analytics, image recognition, graph analysis or other specialized ML techniques such as deep learning, etc., is preferred.
• Ideally, the candidates are adept in agile methodologies and well-versed in applying DevOps/MLOps methods to the construction of ML and data science pipelines.
• Knowledge of industry standard BA tools, including Cognos, QlikView, Business Objects, and other tools that could be used for enterprise solutions
• Should exhibit superior presentation skills, including storytelling and other techniques to guide and inspire and explain analytics capabilities and techniques to the organization.

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

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.

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

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

Full Stack Engineer, Java/Scala Direct Hire Austin

Do you have a track record of building both internal- and external-facing software services in a dynamic environment? Are you passionate about introducing disruptive and innovative software solutions for the shipping and logistics industry? Are you ready to deliver immediate impact with the software you create?

We are looking for Full Stack Engineers to craft, implement and deploy new features, services, platforms, and products. If you are curious, driven, and naturally explore how to build elegant and creative solutions to complex technical challenges, this may be the right fit for you. If you value a sense of community and shared commitment, youll collaborate closely with others in a full-stack role to ship software that delivers immediate and continuous business value. Are you up for the challenge?

Tech Tools:

• Application stack runs entirely on Docker frontend and backend
• Infrastructure is 100% Amazon Web Services and we use AWS services whenever possible. Current examples: EC2 Elastic Container Service (Docker), Kinesis, SQS, Lambda and Redshift
• Java and Scala are the languages of choice for long-lived backend services
• Python for tooling and data science
• Postgres is the SQL database of choice
• Actively migrating to a modern JavaScript-centric frontend built on Node, React/Relay, and GraphQL as some of our core UI technologies

Responsibilities:

• Build both internal and external REST/JSON services running on our 100% Docker-based application stack or within AWS Lambda
• Build data pipelines around event-based and streaming-based AWS services and application features
• Write deployment, monitoring, and internal tooling to operate our software with as much efficiency as we build it
• Share ownership of all facets of software delivery, including development, operations, and test
• Mentor junior members of the team and coach them to be even better at what they do

Requirements:

• Embrace the AWS + DevOps philosophy and believe this is an innovative approach to creating and deploying products and technical solutions that require software engineers to be truly full-stack
• Have high-quality standards, pay attention to details, and love writing beautiful, well-designed and tested code that can stand the test of time
• Have built high-quality software, solved technical problems at scale and believe in shipping software iteratively and often
• Proficient in and have delivered software in Java, Scala, and possibly other JVM languages
• Developed a strong command over Computer Science fundamentals

• 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
  

• 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)
  

• 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
  

Sr. Data Engineer Hadoop, Spark, Data Pipelines, Growing Company

One of our clients is looking for a Sr. Data Engineer in the Fort Worth, TX area! Build your data expertise with projects centering on large Data Warehouses and new data models! Think outside the box to solve challenging problems! Thrive in the variety of technologies you will use in this role!

Why should I apply here?

• Culture built on creativity and respect for engineering expertise
• Nominated as one of the Best Places to Work in DFW
• Entrepreneurial environment, growing portfolio and revenue stream
• One of the fastest growing mid-size tech companies in DFW
• Executive management with past successes in building firms
• Leader of its technology niche, setting the standards
• A robust, fast-paced work environment
• Great technical challenges for top-notch engineers
• Potential for career growth, emphasis on work/life balance
• A remodeled office with a bistro, lounge, and foosball

What will I be doing?

• Building data expertise and owning data quality for the transfer pipelines that you create to transform and move data to the companys large Data Warehouse
• Architecting, constructing, and launching new data models that provide intuitive analytics to customers
• Designing and developing new systems and tools to enable clients to optimize and track advertising campaigns
• Using your expert skills across a number of platforms and tools such as Ruby, SQL, Linux shell scripting, Git, and Chef
• Working across multiple teams in high visibility roles and owning the solution end-to-end
• Providing support for existing production systems
• Broadly influencing the companys clients and internal analysts

What skills/experiences do I need?

• B.S. or M.S. degree in Computer Science or a related technical field
• 5+ years of experience working with Hadoop and Spark
• 5+ years of experience with Python or Ruby development
• 5+ years of experience with efficient SQL (Postgres, Vertica, Oracle, etc.)
• 5+ years of experience building and supporting applications on Linux-based systems
• Background in engineering Spark data pipelines
• Understanding of distributed systems

What will make my résumé stand out?

• Ability to customize an ETL or ELT
• Experience building an actual data warehouse schema

Location: Fort Worth, TX

Citizenship: U.S. citizens and those authorized to work in the U.S. are encouraged to apply. This company is currently unable to provide sponsorship (e.g., H1B).

Salary: 115 130k + 401k Match

---------------------------------------------------

~SW1317~

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

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

Position Overview:

Signify Health is looking for a savvy Data Engineer to join our growing team of deep learning specialists. This position would be responsible for evolving and optimizing data and data pipeline architectures, as well as, optimizing data flow and collection for cross-functional teams. The Data Engineer will support software developers, database architects, data analysts, and data scientists. The ideal candidate would be self-directed, passionate about optimizing data, and comfortable supporting the Data Wrangling needs of multiple teams, systems and products.

If you enjoy providing expert level IT technical services, including the direction, evaluation, selection, configuration, implementation, and integration of new and existing technologies and tools while working closely with IT team members, data scientists, and data engineers to build our next generation of AI-driven solutions, we will give you the opportunity to grow personally and professionally in a dynamic environment. Our projects are built on cooperation and teamwork, and you will find yourself working together with other talented, passionate and dedicated team member, all working towards a shared goal.

Essential Job Responsibilities:

• Assemble large, complex data sets that meet functional / non-functional business requirements
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing data models for greater scalability, etc.
• Leverage Azure for extraction, transformation, and loading of data from a wide variety of data sources in support of AI/ML Initiatives
• Design and implement high performance data pipelines for distributed systems and data analytics for deep learning teams
• Create tool-chains for analytics and data scientist team members that assist them in building and optimizing AI workflows
• Work with data and machine learning experts to strive for greater functionality in our data and model life cycle management capabilities
• Communicate results and ideas to key decision makers in a concise manner
• Comply with applicable legal requirements, standards, policies and procedures including, but not limited to the Compliance requirements and HIPAA.

• High school diploma or equivalent.
• Bachelors degree in Computer Science, Electrical Engineer, Statistics, Informatics, Information Systems, or another quantitative field. or related field or equivalent work experience.

• 5+ years of experience in a Data Engineer role.
• Experience using the following software/tools preferred:
  • Experience with big data tools: Hadoop, Spark, Kafka, etc.
  • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
  • Experience with AWS or Azure cloud services.
  • Experience with stream-processing systems: Storm, Spark-Streaming, etc.
  • Experience with object-oriented/object function scripting languages: Python, Java, C#, etc.
• Strong work ethic, able to work both collaboratively, and independently without a lot of direct supervision, and solid problem-solving skills
• Must have strong communication skills (written and verbal), and possess good one-on-one interpersonal skills.
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable big data data stores.
• 2 years of experience in data modeling, ETL development, and Data warehousing

Essential Skills:

• Fluently speak, read, and write English
• Fantastic motivator and leader of teams with a demonstrated track record of mentoring and developing staff members
• Strong point of view on who to hire and why
• Passion for solving complex system and data challenges and desire to thrive in a constantly innovating and changing environment
• Excellent interpersonal skills, including teamwork and negotiation
• Excellent leadership skills
• Superior analytical abilities, problem solving skills, technical judgment, risk assessment abilities and negotiation skills
• Proven ability to prioritize and multi-task
• Advanced skills in MS Office

Essential Values:

• In Leadership Do whats right, even if its tough
• In Collaboration Leverage our collective genius, be a team
• In Transparency Be real
• In Accountability Recognize that if it is to be, its up to me
• In Passion Show commitment in heart and mind
• In Advocacy Earn trust and business
• In Quality Ensure what we do, we do well

• Fast-paced environment
• Requires working at a desk and use of a telephone and computer
• Normal sight and hearing ability
• Use office equipment and machinery effectively
• Ability to ambulate to various parts of the building
• Ability to bend, stoop
• Work effectively with frequent interruptions
• May require occasional overtime to meet project deadlines
• Lifting requirements of