OnlyDataJobs.com

U.S. Bank
  • Minneapolis, MN

SUMMARY

The successful candidate for this Data Analyst position will be responsible for day-to-day reporting of mobile app voice capability function. This is a business line support function that will provide reporting of voice adoption and performance metrics used in communication plans with development and data science groups for targeting enhancements. The successful candidate should be able to provide and communicate reporting findings to peers and senior stakeholders.

RESPONSIBILITIES

This position's job functions will include:

- Reporting/KPIs: Agile reporting dashboards, Capex and Epic and tactical performance measurement.

- Raw data requests: active customers and customers by age, duration, income, etc.

- Adoption/Engagement: user metric tracking, engagement frequency, volume measurement, segmentation reporting and geo-location reporting.

- Digital voice funnel insights: success rates, processing and response timing and engagement and fallout.

- A/B testing: front-end test design with technical partners and test performance measurement (quality tacking, e.g., fall out, success rates, usage rates and response time, and conversion (tracking to goal).

- Satisfaction tracking: CSAT, sentiment and leading satisfaction indicator identification.

- Visualization: self-service dashboard development and proven ability to develop in Excel and Tableau.

This position will help drive and contribute to the overall team success measures and goals related to:

- KPI Metrics (LOB Dashboards)

- Descriptive Statistics

 -Raw Data Requests

- CapEx Planning / Forecasting

- Benchmarking

- Funnel Analysis

- Forecasting (Plan)

- Optimization (Operational)

REQUIRED

- Bachelor's degree in a quantitative field such as econometrics, computer science, engineering or applied mathematics, or equivalent work experience.

- 6+ years of statistics or analytics experience.

- Bachelor's degree in a quantitative field such as econometrics, computer science, engineering or applied mathematics, or equivalent work experience.

PREFERRED

- Working knowledge of analytics and statistical software such as SQL, R, Python, Excel, Hadoop, SAS, SPSS and others to perform analysis and interpret data.

- Mastery of Microsoft Excel.

- Experience in report development, automation, and visualization.

- Strong reporting skills with the ability to extract, collect, organize, and interpret trends or patterns in complex data sets.

- Basic understanding of data science capabilities and language.

- Demonstrated project management skills.

- Demonstrated leadership and pro-activity skills.

- Effective interpersonal, verbal and written communication skills.

- Considerable knowledge of assigned business line or functional area.

- Working knowledge of customer self-service technology capabilities.

- Basic understanding of data architecture and development concepts.
Brooksource
  • Atlanta, GA

Senior Business Intelligence Analyst

Vinings area of Atlanta, GA

Contract-to-Hire

As a BI Analyst III, you will be developing data solutions in conjunction with key initiatives driven by the different business groups within the organization. You'll be joining a Data Analytics team and working directly with SQL, Tableau, statistical modeling, predictive modeling, machine learning, and other tools that are being used in conjunction to make data and spreadsheets understandable to non-IT colleagues.

Qualifications:

  • Minimum of 3 years of advanced SQL development and troubleshooting experience
  • Bachelor of Science in Computer Science, Computer Information Systems, Management Information Systems, Information Technology, Applied Statistics, or closely-related degree
  • Proven track record of business analysis, requirement definition and solution delivery (examples will be requested during interview)
  • Data Visualization experience (Tableau / Cognos / SSRS) strongly preferred
  • Good organizational and interpersonal skills with the ability to work with various functional areas, including Tech Ops, Care, Marketing, and Finance
  • Great attention to detail
  • Ability to work well in a fast-paced environment
  • Flexibility and a positive attitude

Objectives:

  • Functions as a liaison between the client, community, and internal IT and/or external software vendors to develop system solutions to processing systems or business problems.
  • Develop data solutions in conjunction with key initiatives within the organization.
  • Analyze and revise existing system logic difficulties and documentation, as necessary.
  • Reviews project proposals, including gathering facts, analyzing data, and preparing project overview which compares alternatives in terms of cost, time, availability of equipment, and personnel, etc. Recommends course of action.
  • Prepare detailed specifications from which programs will be written.
  • Identifies and assesses probable interactions of related computer systems and predicts impact of a change in assigned system.
  • Ensures data quality and integrity across data-specific application implementations.
  • Supports the testing team and business users in validating that the programs meet the requirements.
  • Consistent exercise of independent judgment and discretion in matters of significance.
  • Other duties and responsibilities as assigned.

Perks of the Opportunity:

  • Grow a longterm career with a highly reputable Fortune Top 50 global media and technology company leading in innovation
  • Work out of a brand-new office building in a great location in the Battery of SunTrust Park (includes onsite Starbucks, gym, and cafeteria)
  • Free parking with convenient access to a wide variety of restaurants and shops
  • 1 work-from-home day each week

We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Huntech USA LLC
  • San Diego, CA

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.

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

Trinity Industries, Inc.
  • Dallas, TX
Description

TrinityRail is searching for a Senior Data Analyst. The successful candidate will turn data into information, information into insight and insight into business decisions. The analyst should have experience in data mining and transformation, creating visualizations, and statistical analysis. Presentation skills are required to review variance explanations, explain models, and lead conversations with the leadership team.

What You'll Be Doing
  • Work with stakeholders and subject matter experts to derive and understand business outcomes
  • Assist in generating hypothesis that drives strategic questions about the Rail business
  • Works with data engineers to facilitate technical design of complex data sourcing, transformation and aggregation logic, ensuring business analytics requirements are met
  • Possess strong competencies with SQL and data transformation tools to understand and prepare data
  • Brings deep expertise in data visualization tools such as Qliksense and techniques in translating business analytics needs into data visualization and semantic data access requirements
  • Statistical knowledge of evaluating the usefulness and relevance of model outputs
  • Build and refine statistical models to gain better insight (primarily R Studio)
  • Machine learning experience a plus

What You'll Need

Qualifications
  • Bachelors Degree in Mathematics, Economics, Computer Science, Information Management, Statistics, Finance or Accounting, Masters preferred
  • 5+ years relevant experience
  • Advanced skills in Visualization, SQL, R, Microsoft Excel, PowerPoint, and at a minimum intermediate experience in all other Microsoft Office Products
  • Technical expertise regarding data models, database design/Development, data mining and other segmentation techniques
  • Interpret data, analyze results using statistical techniques and provide ongoing reports
  • Must possess effective communication skills, both verbal and written
  • Strong organizational, time management and multi-tasking skills
  • Experience with data conversion, interface and report development
  • Adept at queries, report writing and presenting findings
  • Process improvement and automation a plus
  • Work with management to prioritize business and information needs
Trinity Industries, Inc.
  • Dallas, TX
Description

TrinityRail is searching for a Senior Data Analyst. The successful candidate will turn data into information, information into insight and insight into business decisions. The analyst should have experience in data mining and transformation, creating visualizations, and statistical analysis. Presentation skills are required to review variance explanations, explain models, and lead conversations with the leadership team.

What You'll Be Doing
  • Work with stakeholders and subject matter experts to derive and understand business outcomes
  • Assist in generating hypothesis that drives strategic questions about the Rail business
  • Works with data engineers to facilitate technical design of complex data sourcing, transformation and aggregation logic, ensuring business analytics requirements are met
  • Possess strong competencies with SQL and data transformation tools to understand and prepare data
  • Brings deep expertise in data visualization tools such as Qliksense and techniques in translating business analytics needs into data visualization and semantic data access requirements
  • Statistical knowledge of evaluating the usefulness and relevance of model outputs
  • Build and refine statistical models to gain better insight (primarily R Studio)
  • Machine learning experience a plus

What You'll Need

Qualifications
  • Bachelors Degree in Mathematics, Economics, Computer Science, Information Management, Statistics, Finance or Accounting, Masters preferred
  • 5+ years relevant experience
  • Advanced skills in Visualization, SQL, R, Microsoft Excel, PowerPoint, and at a minimum intermediate experience in all other Microsoft Office Products
  • Technical expertise regarding data models, database design/Development, data mining and other segmentation techniques
  • Interpret data, analyze results using statistical techniques and provide ongoing reports
  • Must possess effective communication skills, both verbal and written
  • Strong organizational, time management and multi-tasking skills
  • Experience with data conversion, interface and report development
  • Adept at queries, report writing and presenting findings
  • Process improvement and automation a plus
  • Work with management to prioritize business and information needs
Coolblue
  • Rotterdam, Netherlands
As an Advanced Data Analyst / Data Scientist you use the data of millions of visitors to help Coolblue act smarter.

Pros and cons

  • Youre going to be working as a true Data Scientist. One who understands why you get the results that you do and apply this information to other experiments.
  • Youre able to use the right tools for every job.
  • Your job starts with a problem and ends with you monitoring your own solution.
  • You have to crawl underneath the foosball table when you lose a game.

Description Data Scientist

Your challenge in this sprint is improving the weekly sales forecasting models for the Christmas period. Your cross-validation strategy is ready, but before you can begin, you have to query the data from our systems and process them in a way that allows you to view the situation with clarity.

First, you have a meeting with Matthias, whos worked on this problem before. During your meeting, you conclude that Christmas has a non-linear effect on sales.  Thats why you decide to experiment with a multiplicative XGBoost in addition to your Regularised-Regression model. You make a grid with various features and parameters for both models and analyze the effects of both approaches. You notice your Regression is overfitting, which means XGBoost isnt performing and the forecast isnt high enough, so you increase the regularization and appoint the Christmas features to XGBoost alone.

Nice! You improved the precision of the Christmas forecast with an average of 2%. This will only yield results once the algorithm has been implemented, so you start thinking about how you want to implement this.

Your specifications

  • You have at least 4 years of experience in a similar function.
  • You have a university degree, MSC, or PHD in Mathematics, Computer Science, or Statistics.
  • You have experience with Machine Learning techniques, such as Gradient Boosting, Random Forest, and Neutral Networks, and you have proven experience with successfully applying these (or similar) techniques in a business environment.
  • You have some experience with Data mining, SQL, BigQuery, NoSQL, R, and monitoring.
  • You're highly knowledgeable about Python.
  • You have experience with Big Data technologies, such as Spark and Hadoop.

Included by default.

  • Money.
  • Travel allowance and a retirement plan.
  • 25 leave days. As long as you promise to come back.
  • A discount on all our products.
  • A picture-perfect office at a great location. You could crawl to work from Rotterdam Central Station. Though we recommend just walking for 2 minutes.
  • A horizontal organisation in the broadest sense. You could just go and have a beer with the boss.

Review



'I believe I'm working in a great team of enthusiastic and smart people, with a good mix of juniors and seniors. The projects that we work on are very interesting and diverse, think of marketing, pricing and recommender systems. For each project we try to use the latest research and machine learning techniques in order to create the best solutions. I like that we are involved in the projects start to end, from researching the problem to experimenting, to putting it in production, and to creating the monitoring dashboards and delivering the outputs on a daily basis to our stakeholders. The work environment is open, relaxed and especially fun'
- Cheryl Zandvliet, Data Scientist
RentPath
  • Atlanta, GA

RENTPATH is transforming the way the multi-family industry goes to market. We simplify the rental experience by creating digital marketing solutions for the rental industry. Through our innovative products and solutions, we offer the ability for our customers to drive targeted messages and content to their prospects and provide an interactive online customer experience that is the best in the industry.


We are looking for a Senior Data Analyst-Consumer Product Analytics to join our Consumer Product team. As a Sr. Data Analyst, you will be responsible for analyzing business trends and consumer behavior data to identify opportunities for optimization of the consumer journey and our products with the goal of providing the best consumer experience and increase visitor engagement, repeat visits, and conversion. You will drive complex reporting needs like building KPI dashboards for product owners and senior leadership teams and will perform complex deep dive analysis to troubleshoot or identify the root cause for site issues, changes to conversion, and other KPIs.

Are you up for the challenge? If so, keep reading.

A Day in the Life 
 

Imagine this as your day to day role and responsibilities

You conduct thorough analyses to develop/validate consumer segmentations, develop and compute consumer value metrics and support ad-hoc requests for data extraction, modeling and analysis cross-functionally
 

You use advanced statistical, econometrics, and quantitative analysis techniques to develop an in-depth understanding of consumers
 

You prepare clear and concise data visualizations and presentations to enhance business decision making; experience leveraging Tableau or similar software is required
 

You are responsible for the development, deployment, and maintenance of dashboards for the consumer product team including product owners
 

You work across the organization and leverage cross-functional teams to provide expert analytical service
 

You are responsible for working cross-functionally (product, engineering, design, IT, etc.)  to deliver analytics support for the  consumer product organization as needed
 

You validate and update analyses and dashboards periodically and provide reports as needed

 
 

What We Need from You

You have successfully completed your undergraduate degree required with preference for quantitative education and degrees in economics, mathematics, statistics, etc. Master's degree a plus, additional education (MOOC, bootcamps, etc) in data science and analytics will be considered with proof of certification

Experience working in support of product development, collecting requirements, and delivering insight for product improvement and supporting the development of analytics solutions leveraging tools like Tableau Desktop and Tableau Online

2+ years experience working with SQL

Experience leveraging web traffic and consumer analytics tools (Ex. Adobe Analytics, Google Analytics, Mixpanel, Heap etc.)

Familiarity with Optimizely, Google Optimize, or similar A/B testing platforms

Demonstrated understanding of data warehousing and data modeling

Comfortable narrating data-driven insights and translating technical concepts into simple terminology for a variety of technical and non-technical stakeholders at various levels.

Excellent problem-solving skills, including the ability to analyze situations, identify existing or potential problems and recommend sound conclusions and implementation strategies

Knowledge of best practices and principles for data visualization, dashboard and report design, marketing analytics, and data mining

If you have it, well take it

Masters degree in a quantitative field

Some experience with Python and exposure to data mining, ETL, usage of data warehouses as well as advanced Excel skills

Experience with Google Analytics, Google Tag Manager, and other Google products

Direct work experience improving data integrity for web analytics systems

Still interested? Then lets see your resume..just upload it and a Recruiter will check it out as soon as possible.


Why Choose RentPath?
Were a place where you can make an important difference, from day one.  Youll have the opportunity to grow and build, both professionally and in the communities we serve.  Youll work with smart, diverse, and unpretentious people, as we help renters find and enjoy their ideal home.  In fact, we consider ourselves a very well-funded start-up that also has more than 40 years in the industry and strong financial performance.  The challenge of leading our digital transformation has attracted talent from leading companieslike Google, Microsoft, and Expedia.  Will you be next?




Coolblue
  • Rotterdam, Netherlands
As an Advanced Data Analyst / Data Scientist you use the data of millions of visitors to help Coolblue act smarter.

Pros and cons

  • Youre going to be working as a true Data Scientist. One who understands why you get the results that you do and apply this information to other experiments.
  • Youre able to use the right tools for every job.
  • Your job starts with a problem and ends with you monitoring your own solution.
  • You have to crawl underneath the foosball table when you lose a game.

Description Data Scientist

Your challenge in this sprint is improving the weekly sales forecasting models for the Christmas period. Your cross-validation strategy is ready, but before you can begin, you have to query the data from our systems and process them in a way that allows you to view the situation with clarity.

First, you have a meeting with Matthias, whos worked on this problem before. During your meeting, you conclude that Christmas has a non-linear effect on sales.  Thats why you decide to experiment with a multiplicative XGBoost in addition to your Regularised-Regression model. You make a grid with various features and parameters for both models and analyze the effects of both approaches. You notice your Regression is overfitting, which means XGBoost isnt performing and the forecast isnt high enough, so you increase the regularization and appoint the Christmas features to XGBoost alone.

Nice! You improved the precision of the Christmas forecast with an average of 2%. This will only yield results once the algorithm has been implemented, so you start thinking about how you want to implement this.

Your specifications

  • You have at least 4 years of experience in a similar function.
  • You have a university degree, MSC, or PHD in Mathematics, Computer Science, or Statistics.
  • You have experience with Machine Learning techniques, such as Gradient Boosting, Random Forest, and Neutral Networks, and you have proven experience with successfully applying these (or similar) techniques in a business environment.
  • You have some experience with Data mining, SQL, BigQuery, NoSQL, R, and monitoring.
  • You're highly knowledgeable about Python.
  • You have experience with Big Data technologies, such as Spark and Hadoop.

Included by default.

  • Money.
  • Travel allowance and a retirement plan.
  • 25 leave days. As long as you promise to come back.
  • A discount on all our products.
  • A picture-perfect office at a great location. You could crawl to work from Rotterdam Central Station. Though we recommend just walking for 2 minutes.
  • A horizontal organisation in the broadest sense. You could just go and have a beer with the boss.

Review



'I believe I'm working in a great team of enthusiastic and smart people, with a good mix of juniors and seniors. The projects that we work on are very interesting and diverse, think of marketing, pricing and recommender systems. For each project we try to use the latest research and machine learning techniques in order to create the best solutions. I like that we are involved in the projects start to end, from researching the problem to experimenting, to putting it in production, and to creating the monitoring dashboards and delivering the outputs on a daily basis to our stakeholders. The work environment is open, relaxed and especially fun'
- Cheryl Zandvliet, Data Scientist
Austin Fraser
  • Austin, TX

Data Analyst | Located in Downtown Austin


Leading the way in the automotive industry, this exciting company located in downtown Austin is improving their Data Analytics and is growing their team.


If you are a sharp and experienced Data Analyst, this could be the opportunity you've been looking for to advance your career. If you are interested in making a bigger impact with a small yet mighty company and team, please review the below requirements and desirable skill sets.


Required Skills:

  • Performs data analysis and data mining to identify patterns, trends and anomalies in data and their root cause
  • Understands statistical and predictive modeling concepts
  • Proficient with Excel/Google Sheets and data exploration/visualization tools, open source and commercial (Tableau, Google Data Studio, Domo, etc)
  • Proficient with MS SQL and relational databases.


Desirable Skills:

  • Knowledge of machine learning concepts and software (TensorFlow or similar)
  • Knowledge of R, Python


If this describes you and what you are seeking to do in your next professional opportunity, please apply!

Daugherty Systems, Inc.
  • Atlanta, GA
As a Data Analyst You Will Have The Opportunity To
Team Daugherty is hiring a Data Analyst to join us in Atlanta. The ideal candidate for this position is a problem solver with the ability to utilize insights, creativity and perspective to drive business success for our clients.
    • Identify, review and evaluate existing data structures.
    • Construct data decomposition diagrams, provide data flow diagrams and document the process.
    • Identify and document data quality issues and data patterns.
    • Write code for database access, modification and construction including stored procedures.
    • Effectively work on a single platform (ORACLE, SQL Server, Teradata).
    • Contribute to the creation and delivery of presentations to project teams.

We Are Looking For Someone With
    • 2+ years of experience in a similar role.
    • Proven data analysis skills.
    • Knowledge and understanding of SQL.
    • Knowledge of one or more of the following: Hadoop, Python, R or Kafka.
    • Familiarity with a variety of field concepts, practices and procedures.
    • Knowledge of integration, OLAP, reporting or dashboard tools.

We Offer Members Of Team Daugherty
    • Excellent health, dental and vision insurance.
    • Revenue sharing and a 401(k) retirement savings plan.
    • Life, disability and long-term care insurance.
    • Little to no travel.
    • Robust career development and training.
Do you think youre a good fit for Team Daugherty? Apply now and find out why working here satisfies the smart, the talented and the curious!
Quest Groups LLC
  • Austin, TX

The Senior Data Engineer is responsible for overseeing junior data engineering activities and aiding in building the business data collection systems and processing pipelines. The role of the Senior Data Engineer is responsible for building and maintaining optimized and highly available data pipelines that facilitate deeper analysis and reporting by the Data and Analytics department.

The Senior Data Engineer builds data processing frameworks that handle the businesss growing database. He works with senior data science leadership as well as other Data and Analytics teams in leveraging data with reporting and scientific tools, for example, Tableau, R, and Spark. The Senior Data Engineer strives to continuously develop new and improved data engineering capabilities.


Objectives and Responsibilities of the Senior Data Engineer

Management and Strategy: The managerial role of the Senior Data Engineer is primarily for overseeing activities of the junior data engineering teams, ensuring proper execution of their duties and alignment with business vision and objectives. He provides senior-level contribution to a team that is responsible for the design, deployment, and maintenance of the businesss data platforms.

However, the Senior Data Analyst will also implement strategies directed at acquiring data and promoting the development of new insights across the business. The Senior Data Engineer owns and extends the businesss data pipeline through the collection, storage, processing, and transformation of large data-sets.

It is his duty to monitor the existing metrics, analyze data, and lead partnership with other Data and Analytics teams in an effort to identify and implement system and process improvements.

The Senior Data Engineer will additionally develop queries for ad hoc business projects, as well as ongoing reporting. In this capacity, the Senior Data Engineer builds a metadata system where all available data is maintained and cataloged. The Senior Data Engineer also plays a major role in the development of reliable data pipelines that translate raw data into powerful features and signals.

He designs, architects, implements, and supports key datasets that avail structured and timely access to actionable business insights. The Senior Data Engineer is additionally tasked with developing ETL processes that convert data into formats through a team of data analysts and dashboard charts.


Collaboration and Support: The Senior Data Engineer plays a collaborative role where he works closely with the businesss Data and Analytics teams, gathering technical requirements for exceptional data governance across the department and the business at large.

In this collaboration, the Senior Data Engineer works the data analysts, data warehousing engineers, and data scientists in finding and applying best practices within the Data and Analytics department as well as defining the businesss data requirements, which will ensure that the collected data is of a high quality and optimal for use across the department and the business at large.

The Senior Data Engineer will also work with senior data science management and departments beyond the Data and Analytics department in analyzing and understanding data sources, participating in design, and providing insights and guidance on database technology and data modeling best practices.

In this capacity, the Senior Data Engineer will further be required to draw performance reports and strategic proposals form his gathered knowledge and analyses results for senior data science leadership.

Analytics: The Senior Data Engineering plays an analytical role where he develops and manages scalable data processing platforms that he uses for exploratory data analysis and real-time analytics. It is also the role of the Senior Data Engineer to oversee, design, and develop algorithms for real-time data processing within the business and to create the frameworks that enable quick and efficient data acquisition.

In this capacity, the Senior Data Engineer retrieves and analyzes data through the use of SQL, Excel, among other data management systems. He also builds data loading services for the purpose of importing data from numerous disparate data sources, inclusive of APIs, logs, relational, and non-relational databases.

Knowledge and Opportunity: The Senior Data Engineer is tasked with the responsibility of contributing to the continual improvement of the businesss data platforms through his observations and well-researched knowledge. He keeps track of industry best practices and trends and through his acquired knowledge, takes advantage of process and system improvement opportunities.


The Senior Data Engineer performs similar duties as he deems fit for the proper execution of his duties and duties as delegated by the Head of Data Science, Director Data Science, Chief Data Officer, or the Employer.


Required Qualifications of the Senior Data Engineer

Education: The Senior Data Engineer must have a bachelors degree (masters preferred) in Computer Science, Applied Mathematics, Engineering, or any other technology related field. An equivalent of this educational requirement in working experience is also acceptable.


Experience: A candidate for this position must have had at least 5 years of working experience working in a data engineering department, preferably as a Data Engineer in a fast-paced environment and complex business setting. The candidate must have a demonstrated experience in building and maintaining reliable and scalable ETL on big data platforms as well as experience working with varied forms of data infrastructure inclusive of relational databases such as SQL, Hadoop, Spark and column-oriented databases such as Redshift, MySQL, and Vertica.

The candidate must also have had experience in data warehousing inclusive of dimensional modeling concepts and demonstrate proficiency in scripting languages, for example, Python, Perl, and so forth. A suitable candidate will also demonstrate machine learning experience and experience with big data infrastructure inclusive of MapReduce, Hive, HDFS, YARN, HBase, Oozie, etc. The candidate will additionally demonstrate substantial experience and a deep knowledge of data mining techniques, relational, and non-relational databases.


Communication Skills: Communication Skills for the Senior Data Engineer are just as important as they are for the Data Engineer, both in verbal and written form. The Senior Data Engineer oversees and manages junior data engineering teams and to ensure effective management, he must be capable of conveying information and instructions clearly down the line to the junior team.

Communication skills are also imperative for the Senior Data Engineer in his collaborative role where he will have to interact cross-functionally with non-technical departments. To enable effective collaborations, the Senior Data Engineer will have an exceptional ability to convey complex messages in a clear, simplified, and understandable manner.

He will also be required to draft reports and prepare presentations for senior data science leadership. These reports and presentation must be clear, concise, unambiguous, engaging and convincing, which will demand exceptional communication skills on the Senior Data Engineers part.


Skills: A candidate for this position will also demonstrate strong computer skills and a deep passion for analytics. The candidate for this position must possess an ability to perform complex data analyses with large data volumes. He will be an expert in SQL, Java, and have a keen understanding of data models and data warehouse concepts.


The candidate will demonstrate an ability translate algorithms provided by senior data science management and implement them in as well as strong knowledge in Linux, OS tools, and file-system level troubleshooting. The candidate must have substantial experience working with big data infrastructure tools such as Python, SQS, and Redshift. A suitable candidate will also be proficient Scala, Spark, Spark Streaming, AWS, and EMR.


The Senior Data Engineer must have certain preferable personal attributes that will make him that much more suited for the position. The Senior Data Engineer will be a result-driven individual, be passionate and a self-starter, be proactive requiring minimal supervision, be highly organized, have an ability to handle multiple tasks and meet tight deadlines, be a creative and strategic thinker, work comfortably work in a collaborative setting, work comfortably with senior departmental leadership, and demonstrate an ability to remain calm during times of uncertainty and stress, inspiring the same in his team.


The candidate must be a people person who is able to form strong, meaningful, and lasting connections with others, enabling smooth and continued collaborative relationships, earning him the trust of his juniors who will readily follow in his directives, and gaining the confidence of senior data science leadership.

Progrexion
  • Salt Lake City, UT

The product team is looking for an outstanding data analyst to join its growing organization. This person will play a central role in one of our companys most highly visible departments, pulling insights from the data warehouse to guide strategic decisions of executives and shape the way that we serve our customers.

The incumbent will work closely with the directors of product and of marketing science, as well as a variety of cross-functional teams, to elucidate how our core product offerings produce meaningful results for our clients. They will do so as part of a data science team working on a range of compelling projects, from recommendation engines to lead scoring to marketing mix modelling.

Key to success in this role will be the ability to pull data using tools such as SQL, mySQL, Google Analytics, and Adobe Analytics; build models in R, Python, or Excel; and both visualize and communicate data-driven findings to less technical colleagues. The ideal candidate will be an outstanding storyteller, with the ability to show diverse audiences what the data say. They will draw on a range of visualization strategies (e.g., heat mapping, local regression) and analytical techniques (e.g., correlation, ANOVA, logistic regression, decision trees) to do so. A background in product development and financial services will be helpful, but not a necessity.


Responsibilities:

  • Use data and analysis to find answers to business problems, recommend possible solutions, and track downstream effectiveness.
  • Communicate effectively with peers on the marketing science team, internal clients, and company leadership regarding ongoing projects and future possibilities.
  • Carry out ad-hoc data extracts and analyses as needed.

Qualifications:

  • 3-5 years of experience in data analysis or an advanced degree (MS, MBA, PhD) in a related field.
  • Fluent in English and at least one language related to statistical analysis (e.g., R, SAS, STATA) and another regarding data management (e.g., SQL).
  • Excellent communicator; able to clearly demonstrate findings and the reasons for them.
  • Attention to detail and overarching curiosity are both essential.
  • Willingness to learn new quantitative techniques and programming languages.
  • Responsible and reliable; able to set and meet deadlines.
Literati
  • Austin, TX

*No relocation for this position


Reports to: CEO


Essential


We are looking for an exceptionally thoughtful, detail-oriented, and fast executing Data Analyst.  The right candidate will be passionate about working with huge datasets, and charged with solving complex business problems by looking at customer data in new and innovative ways.


Youll partner with various teams in drawing insight from our data. This includes creating dashboards, visualizations, algorithms, and business tools for use across the Literati.


The right candidate is excited to join a fast-paced, data-driven team and become our in-house expert on data analytics & data science. If you're passionate about technology, love to learn, enjoy collaborating cross-functionally, and are excited to work with massive amounts of data, wed love to talk to you.


What Youll Do...

  • Develop and influence a long term BI strategy/analytics/tools roadmap and self-service reporting capabilities, and drive the implementation end-to-end

  • Create and deliver metrics, reporting platforms and analytical models critical for tracking and managing the business. This will include daily, weekly, monthly, and quarterly revenue, inventory, procurement, receiving and financial reporting and planning

  • Work with Marketing, Finance, Operations (and more!) to build scalable processes and metrics

  • Build reports, dashboards, and other data representation models from scratch

  • Looker (on top of python) for reports, data and visualizations

  • Understand various teams objectives, the metrics that are the most important to them, and how they measure their performance

  • Turn business requirements into technical requirements

  • Find and understand the correct data sources for a given analysis

  • Learn from, and share knowledge and skills with your teammates to grow BIs total impact to the organization


Who You Are

  • Humble. Very Humble. Ego? Not your amigo.

  • Data driven. You believe that great data enables you and others to make better decisions.

  • A Talented Juggler. You successfully manage competing priorities, and you make it look easy.

  • Methodical and Efficient. You consider a variety of ways to approach an issue before diving in.

  • A Contributor. You like to do more than just build dashboards. You want people to use the insights you generate and enjoy educating others.

  • Driven by Details. You're meticulous, thorough, and enjoy being extra-precise

  • Someone who gets things done. You thrive in a fast-paced environment where decisions are made on the fly. Youre willing to get gritty & roll up sleeves.

  • A Fast learner. You can speed up the learning curve to master a new marketing channel.

  • A Communicator.  You understand the importance of being able to both brainstorm with the wider team as well as articulate your individual decisions. Youre all about efficiency and are able to work in a fast-paced environment and rely on strong communication skills to keep on task & flag project inconsistencies. You are always accountable for your own tasks but not afraid to ask for help when needed. You are proud of your work but humble in your role. You can take criticism and put it towards to bettering your work while giving constructive feedback that empowers your team.

  • Experienced. You're still learningas we all arebut you have proven experience as an Analyst.

  • Adaptable and Self Driven.  You adjust to changes with ease and are up for a challenge.


What You'll Need

  • Bachelors degree in math, computer science, engineering, finance, statistics, or a related technical field or equivalent

  • 3-5 years of Industry experience in a report development, data science, business analytics, business intelligence or comparable data engineering role, including data warehousing and business intelligence tools, techniques and technology

  • 3+ years of SQL. Must have the ability to write complex, highly-optimized queries across large volumes of data

  • 3+ years of solid Python programming skills to cleanse, manipulate, and present data

  • The ability to think big, understand business strategy, provide consultative business analysis, and leverage technical skills to create insightful, effective BI solutions

  • Excellent oral and written communication skills, and comfort presenting to everyone from entry-level employees to senior vice presidents

  • Knowledge of ETL and data warehouse concepts and processes

  • Ability to explain complicated or technical information in a simple way to non-technical audiences

  • Sensitivity to team needs and able to develop warm client relationships

  • Curiosity and passion about data, visualization and solving problems

  • Strong project management, attention to detail, and a no-task-too-small mentality

  • The ability to thrive in a startup environment

  • A proven track record of strong communication & data presentation skills, including an ability to effectively communicate and influence both business and technical teams

  • Familiarity with Marketing Analytics KPIs a plus

  • Experience with business intelligence tools such as Looker, Mixpanel, Heap, Marketo and other platforms a plus



**No relocation for this position

Brooksource
  • Atlanta, GA

Role: Digital Analyst

Location: Sandy Springs, GA

Duration: 6-month contract 

Compensation: $40-45/hr. BOE

As a Digital Analyst you will be joining our digital media client, and you'll play a critical role in analyzing patterns, consumption trends, and audience behavior through standard dashboards as well as ad hoc analyses. You will enjoy working with our client's multi-faceted, global data to produce insights that are turned into real products on a regular basis. This role will work with the Analytics team to explore innovative ways of growing our audience and increasing engagement using both highly visual and articulate oral communication methods.

Responsibilities:

    • Partner with product, marketing and business development teams to apply data-driven approaches to reach, engagement, acquisition and retention across all platforms
    • Create compelling presentations around competitive and market trends that provide actionable insights
    • Keep abreast with industry trends and best practices and share knowledge with cross-functional teams
    • Report findings by creating useful and appropriate data outputs/visualizations tailored for intended audiences

Requirements:

    • Undergraduate degree within analytics or a related field
    • Classroom or internship level excel experience
    • Experience working with Google Analytics, Adobe Analytics, or something similar
    • Experience working with Tableau or another visualization tool
    • Classroom or internship level analytics experience, reporting, and analysis
    • Proven analytical skills to obtain data, interpret results and turn insights into recommendations
    • Ability to display data visually, creating powerful presentations which effectively demonstrate the value of analytic deliverables
    • Excellent oral and written communication skills
    • Proven ability to thrive in a fast-paced environment and demonstrate the ability to complete tasks within tight deadlines
    • Experience with R and/or Python is a plus

Perks of the Opportunity:

    • Cutting edge technology company that values continued learning
    • On the job training and mentorship provided
    • Ability to lead the charge on the team in working with R and predictive analytics
    • Free snacks, on-site cafeteria
    • One of the top companies in the world based off on analytics

Interview Process:

    • Interview with Brooksource recruiter
    • Onsite interview with client's hiring manager

IDology
  • Atlanta, GA

IDology is a leading provider of multi-layered identity verification and fraud prevention solutions for organizations operating in a consumer-not-present environment. Founded in 2003, the Atlanta-based company delivers an innovative solutions suite and a fraud prevention platform that empowers organizations to assess overall transaction risk and improves the customer experience. 


The Fraud Data Analyst will be on the front-line of reviewing client transactions and activity. This is a consultative role with the ideal candidate being personable, intuitive and analytical with an outgoing personality and the ability to build a strong rapport with customers and colleagues.

Day2Day:

  • Identify, analyze, and interpret fraud-like trends or patterns in data and develop recommendations based on findings.
  • Analyze customer data to identify key insights and trends
  • Report trends and findings to the Executive team and to the client.
  • Provide expertise to manage, manipulate, and analyze data and report results.
  • Analyze software performance and client usage
  • Maintain and improve existing data analysis tools/ reports
  • Identify problematic areas and conduct research to determine the best course of action to correct the data
  • Analyze and problem-solve issues with current customers.
  • Create and present quality dashboards
  • Generate routine and ad hoc reports

Required Skills and Expertise:

  • Bachelors degree or higher
  • Highly motivated and independent worker who is not shy at tackling tasks they do not immediately understand.
  • Strong analytic, oral and written communication skills.
  • Must have professional phone skills, a proactive mindset and be able to articulate technical problems effectively.
  • Able to work to project deadlines both effectively and efficiently
  • Experience with Tableau, SQL or other analytic software tools
  • Technical expertise regarding data models and database design development.
  • Advanced skills in Excel
  • Ability to present complex information in an understandable and compelling manner
  • Strong internal and external customer service and professional skills with the ability to work in a flexible environment and adapt to change
  • Must have a passion for data and analytics


Designed Experience:

  • Certified Fraud Examiner or obtaining a CFE
  • Knowledge of statistics
  • Experience in data mining techniques and procedures and knowing when their use is appropriate
  • Previous data analyst experience 
Coolblue
  • Rotterdam, Netherlands
As an Advanced Data Analyst / Data Scientist you use the data of millions of visitors to help Coolblue act smarter.

Pros and cons

  • Youre going to be working as a true Data Scientist. One who understands why you get the results that you do and apply this information to other experiments.
  • Youre able to use the right tools for every job.
  • Your job starts with a problem and ends with you monitoring your own solution.
  • You have to crawl underneath the foosball table when you lose a game.

Description Data Scientist

Your challenge in this sprint is improving the weekly sales forecasting models for the Christmas period. Your cross-validation strategy is ready, but before you can begin, you have to query the data from our systems and process them in a way that allows you to view the situation with clarity.

First, you have a meeting with Matthias, whos worked on this problem before. During your meeting, you conclude that Christmas has a non-linear effect on sales.  Thats why you decide to experiment with a multiplicative XGBoost in addition to your Regularised-Regression model. You make a grid with various features and parameters for both models and analyze the effects of both approaches. You notice your Regression is overfitting, which means XGBoost isnt performing and the forecast isnt high enough, so you increase the regularization and appoint the Christmas features to XGBoost alone.

Nice! You improved the precision of the Christmas forecast with an average of 2%. This will only yield results once the algorithm has been implemented, so you start thinking about how you want to implement this.

Your specifications

  • You have at least 6 years of experience in a similar function.
  • You have a university degree, MSC, or PHD in Mathematics, Computer Science, or Statistics.
  • You have experience with Machine Learning techniques, such as Gradient Boosting, Random Forest, and Neutral Networks, and you have proven experience with successfully applying these (or similar) techniques in a business environment.
  • You have some experience with Data mining, SQL, BigQuery, NoSQL, R, and monitoring.
  • You're highly knowledgeable about Python.
  • You have experience with Big Data technologies, such as Spark and Hadoop.

Included by default.

  • Money.
  • Travel allowance and a retirement plan.
  • 25 leave days. As long as you promise to come back.
  • A discount on all our products.
  • A picture-perfect office at a great location. You could crawl to work from Rotterdam Central Station. Though we recommend just walking for 2 minutes.
  • A horizontal organisation in the broadest sense. You could just go and have a beer with the boss.
JoCo
  • Houston, TX

What is the position:


The Sr. Data Analyst will be responsible for managing master data sets, troubleshooting data issues, and developing reports.


What will you do:


  • Develop, implement, and maintain analytic systems
  • Develop and maintain protocols for handling, processing, and cleaning data
  • Evaluate complicated problems and build simple frameworks
  • Identify trends and opportunities for growth through analysis of complex data sets
  • Work with management and users to gather requirements and provide status updates
  • Work with business owners to understand their analytical needs, including identifying critical metrics and KPIs, and deliver actionable insights to relevant decision-makers
  • Evaluate organizational methods and provide source-to-target mappings and information-model specification documents for data sets
  • Evaluate internal systems for efficiency, inaccuracies, and problems
  • Create best-practice reports based on data mining, analysis, and visualization
  • Use statistical methods to analyze data and create useful reports


What are the requirements:


  • Bachelors Degree in CS, Statistics, Information Systems, or related
  • 3+ years experience with data mining
  • Experience in the Oil & Gas Industry preferred
  • Strong experience working with data discovery, analytics, and BI software tools (ie. Tableau, Qlik, PowerBI, etc.)
  • Experience with technical writing in relevant areas, including queries and reports
  • Experience with advanced analytics tools for Object-oriented scripting using languages such as (R, Python, Java, C++, etc.)
  • Experience working with SQL on Hadoop tools and technologies (ie. HIVE, Impala, Presto, Hortonworks Data Flow (HDF), Dremio, Informatica, Talend)
  • Experience with database programming languages including SQL, PL/SQL, etc.
  • Knowledge of NoSQL/Hadoop oriented databases (MongoDB, Cassandra, etc.)
  • Excellent communication skills


You would be really happy working here if:


  • Roadblocks dont intimidate you. You understand how to successfully evaluate problems and develop appropriate solutions.
  • You can be counted on in crucial times, possessing great focus while completing projects successfully and efficiently.
Wipro Limited
  • Philadelphia, PA
Job title: ML Developer & Data Analyst
Job location: Philadelphia, PA
Job type: Permanent  

JD:    

 

As a machine learning developer & Data Analyst, you should be able suggest, prototype and deploy machine learning solutions. You should be able to expose your models as service interfaces for the application integration. You should be also be able to build data pipelines for sourcing data from desperate sources which later can be analyzed, cleaned and transformed for building intelligent systems.

Primary Requirements:

Strong and proven software development skills

Proficient in Python programming language

Should be able to build interfaces for collecting data, data extraction, transformations through Python

Should be able to work with data through SQL - Preparing data, cleanup, Aggregating, Slicing/Dicing Data

Should have worked in Python Stats, Machine learning packages - Pandas, Dataframes, Scipy, NumPy, StatsModel, Scikit packages.

· Familiarity with frameworks such as MLlib, H2O, TensorFlow or similar.

· Should have experience in working with Kafka using Python or Java API

· Should have worked with a NoSQL database. Should be able to build interfaces for serving data-in/data-out of database through API.

· Preferred to have Telecom and Billing domain knowledge

· Experience working in an Agile organization and understanding of Agile fundamentals, JIRA with CI/CD

· Excellence at formulating, understanding, and solving complex, non-routine problems

· Exposure in working with Big Data; experience with Hadoop, Kafka and Spark preferred

· Familiarity with managed cloud based options for building machine learning models