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Data Analyst Github Jobs in Chicago, IL (NOW HIRING)

Data Engineer

Chicago, IL ยท Hybrid

$100K - $151K/yr

Perform data analysis to ensure quality of data assets. * Perform preliminary exploratory analysis ... Produce code artifacts and documentation using GitHub for reproducible results and hand-off to ...

Description Senior Data Scientist AArete is one-of-a-kind when it comes to consulting firm culture ... such as Claude Code, GitHub Copilot, or similar tools to accelerate coding, analytics ...

Senior Data Scientist AArete is one-of-a-kind when it comes to consulting firm culture. We're a ... such as Claude Code, GitHub Copilot, or similar tools to accelerate coding, analytics ...

Data Modeler (P&C Insurance)

Chicago, IL ยท On-site

$56.50 - $73.25/hr

Perform data quality analysis and propose solutions to identified issues * Guide product teams in ... Experience with database technologies such as GCP Big Query, PostgreSQL, IICS, Composer, Github etc.

Data Scientist

Chicago, IL ยท On-site +1

$139K - $144K/yr

... analysis (K-means, hierarchical) for audience or brand segmentation. * Python, R, SQL, Tableau and Power BI. * Cloud environments including: AWS, Azure, and GCP Data Lake architecture. * GitHub and ...

Sr. Data Engineer - Hybrid

Chicago, IL ยท Hybrid

$117K - $175K/yr

You should also have experience in data analysis, requirements gathering, data modeling, and ... Experience with version control, CI/CD pipelines, and DevOps tools such as GitHub, Jenkins, Nexus ...

New

Data Scientist

Chicago, IL ยท On-site

$139K - $144K/yr

... analysis (K-means, hierarchical) for audience or brand segmentation. * Python, R, SQL, Tableau and Power BI. * Cloud environments including: AWS, Azure, and GCP Data Lake architecture. * GitHub and ...

Data Engineer

Chicago, IL

$105K - $126K/yr

Position Summary We are looking for a Data Engineer - Enterprise Data & Analytics to join our DnA ... Understanding of CI/CD tools and practices, ideally including Cloud Build , GitHub Actions , or ...

Data Engineer

Chicago, IL ยท On-site

$105K - $126K/yr

Position Summary We are looking for a Data Engineer - Enterprise Data & Analytics to join our DnA ... Understanding of CI/CD tools and practices, ideally including Cloud Build , GitHub Actions , or ...

Contributing to and overseeing the successful delivery of data platform, analytics, and data ... Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub, automated testing, and ...

Contributing to and overseeing the successful delivery of data platform, analytics, and data ... Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub, automated testing, and ...

Lead Data Scientist

Chicago, IL ยท On-site

$144K - $198K/yr

Proficient in SQL, Python, ML modeling, and time-series analytics; hands-on AI-assisted coding against Snowflake tables, pipeline orchestration, GitHub for CI/CD, Azure data platform * Effective AI ...

Data Engineer

Chicago, IL

$118K - $141K/yr

... analytics, machine learning, and AI solutions. Working closely with data scientists, machine ... Experience with CI/CD tools such as GitHub Actions, Jenkins, or similar platforms. * Experience ...

Showing results 21-40

Data Analyst Github information

See Chicago, IL salary details

$35K

$85.1K

$140.1K

How much do data analyst github jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data analyst github in Chicago, IL is $85,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,400.00 and $99,900.00 per year, depending on experience, location, and employer.

How does a data analyst at GitHub typically collaborate with engineering and product teams?

At GitHub, Data Analysts frequently work alongside engineering and product teams to translate business questions into actionable data insights. They participate in cross-functional meetings, help define key metrics, and build dashboards or reports tailored to the needs of different stakeholders. Effective collaboration requires strong communication skills, as analysts must explain complex data findings to both technical and non-technical colleagues. This collaborative environment fosters continual learning and often provides opportunities to contribute to strategic decisions that impact the direction of products and features.

What are the key skills and qualifications needed to thrive as a data analyst at GitHub, and why are they important?

To thrive as a Data Analyst on GitHub, you need strong analytical skills, experience in statistics, and proficiency in data manipulation using languages like Python or SQL, often backed by a relevant degree. Familiarity with data visualization tools (e.g., Tableau, Power BI), Git version control, and GitHub workflows is essential, and certifications in data analysis or related fields are advantageous. Attention to detail, problem-solving, and effective communication are vital soft skills for collaborating on open-source projects and sharing insights. These competencies enable accurate data-driven decision-making, efficient project collaboration, and impactful contributions to the GitHub community.

What is a data analyst at GitHub?

Data Analysts on GitHub are professionals or contributors who use the platform to share, collaborate, and manage data analysis projects. They leverage GitHub to store datasets, share scripts and code (often in languages like Python or R), and document their analyses using tools like Jupyter Notebooks or Markdown. GitHub enables Data Analysts to version-control their work, collaborate with others through pull requests and issues, and showcase their portfolios to potential employers or collaborators.

Is GitHub good for data analysts?

GitHub is a valuable tool for data analysts as it facilitates version control, collaboration, and sharing of data projects and code. Many data analysts use GitHub to showcase their work, collaborate with teams, and manage project documentation, often integrating it with tools like Jupyter notebooks and data visualization libraries.

What is the difference between Data Analyst Github vs Data Scientist?

AspectData Analyst GithubData Scientist
Required CredentialsBachelor's in Data Analytics, Statistics, or related field; proficiency in SQL, Excel, and visualization toolsBachelor's or Master's in Data Science, Computer Science, or related; knowledge of programming languages like Python or R, machine learning
Work EnvironmentCollaborates with teams to analyze data, create dashboards, and support decision-makingBuilds models, develops algorithms, and performs advanced statistical analysis
Employer & Industry UsageUsed across industries for reporting, data visualization, and business insightsApplied in AI, predictive modeling, and complex data analysis projects

While both roles involve working with data, Data Analyst Github focuses on data visualization, reporting, and supporting business decisions, often using tools like SQL and Excel. Data Scientists perform advanced analytics, build predictive models, and require programming skills in Python or R. The roles overlap in data handling but differ in complexity and technical depth.

What are popular job titles related to Data Analyst Github jobs in Chicago, IL? For Data Analyst Github jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Data Analyst Github jobs in Chicago, IL look for? The top searched job categories for Data Analyst Github jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Data Analyst Github jobs? Cities near Chicago, IL with the most Data Analyst Github job openings:

Data Scientist II- Data Algorithms & Optimization, Cat Digital

Socket.dev

Chicago, IL โ€ข On-site

$97.53 - $158.48/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

Career Area

Technology, Digital and Data

Job Description

When you join Caterpillar, you're joining a global team who cares not just about the work we do โ€“ but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here โ€“ we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.

Cat Digital is the digital and technology arm of Caterpillar Inc., leveraging the latest technologies to build industry leading digital solutions for our customers and dealers. With over 1.5 million connected assets worldwide, our teams use data, technology, advanced analytics, telematics, and AI capabilities to help our customers build a better, more sustainable world.

Job Summary

Join the Platform Analytics and AI team of Cat Digital and be responsible for delivering advanced analytics, data science, and machine learning solutions that support business decision-making, product innovation, and operational excellence. This position partners closely with analytics leaders, product teams, and technical stakeholders to translate complex business problems into scalable, data-driven solutions.

The role plays a critical part in ensuring data quality, developing analytical models, and providing actionable insights that drive measurable business impact across digital initiatives.

Responsibilities
  • Design, develop, and maintain advanced analytical models, including machine learning and statistical approaches, to support digital products and enterprise initiatives.
  • Analyze large, complex datasets to identify trends, patterns, and opportunities for improvement.
  • Partner with crossโ€‘functional teams to define analytical requirements and translate business questions into data science solutions.
  • Support data quality initiatives by validating data sources, identifying gaps, and recommending improvements.
  • Communicate insights and model results clearly to technical and nonโ€‘technical stakeholders.
  • Contribute to continuous improvement of analytics tools, methodologies, and best practices within Cat Digital.
Qualifications
  • Business Statistics: Extensive knowledge of the statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions.
  • Accuracy and Attention to Detail: Extensive understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision.
  • Analytical Thinking: Extensive knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems.
  • Machine Learning: Extensive knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.
  • Programming Languages: Working knowledge of basic concepts and capabilities of applying Python programming to solve business challenges; ability to use tools, techniques and platforms in order to write and modify programming languages.
  • Requirements Analysis: Working knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and nonโ€‘functionality requirements to ensure the success of a system or software development project.
Considerations for Top Candidates
  • Typically, a Bachelors, Masters, or PhD degree in Applied Statistics, Data Science, Business Analytics, Predictive Analytics, Business Intelligence & Analytics, Mathematics, Computer Science, Engineering (Aerospace, Electrical, Mechanical, Computer, Industrial, Agricultural, etc.), or equivalent technical degree.
  • Extensive handsโ€‘on experience:
    • applying Python programming to solve business challenges.
    • advanced data analysis and statistical methods such as regression, hypothesis testing, ANOVA, statistical process control, etc.
    • practical applications of Machine Learning techniques such as Clustering, Logistic Regression, Random Forests, SVM or Neural Networks.
    • working with generative AI, with an understanding of strengths, limitations, and responsible use considerations.
  • Advanced experience in quantifying the costs, benefits, risks and chances for success before recommending a course of action.
  • Inโ€‘depth technical and problemโ€‘solving skills and evidence of continuous learning in the analytics field.
  • Working knowledge with cloud technologies (AWS, Azure, Google Cloud, etc.).
  • Advanced experience with version control / repositories such as GitHub.
  • Experience operating in an Agile environment.
  • Must demonstrate strong initiative, interpersonal skills, and the ability to communicate effectively.
Location

This position will be based out of our Chicago, IL or Peoria, IL offices.

Pay Range

$97,530.00 - $158,480.00

Benefits
  • Medical, dental, and vision benefits*
  • Paid time off plan (Vacation, Holidays, Volunteer, etc.)*
  • 401(k) savings plans*
  • Health Savings Account (HSA)*
  • Flexible Spending Accounts (FSAs)*
  • Health Lifestyle Programs*
  • Employee Assistance Program*
  • Voluntary Benefits and Employee Discounts*
  • Career Development*
  • Incentive bonus*
  • Disability benefits
  • Life Insurance
  • Parental leave
  • Adoption benefits
  • Tuition Reimbursement

* These benefits also apply to partโ€‘time employees.

Legal

Visa Sponsorship is not available for this position.

Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.

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