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

Data Engineer

Chicago, IL · 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 · 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 · 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 · 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 · 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 · 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 ...

Manager, Data Engineering

Chicago, IL · On-site

$160K - $190K/yr

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 · 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 Alsip, IL salary details

$34.6K

$84.1K

$138.4K

How much do data analyst github jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data analyst github in Alsip, IL is $84,127.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,600.00 and $98,700.00 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 job categories do people searching Data Analyst Github jobs in Alsip, IL look for? The top searched job categories for Data Analyst Github jobs in Alsip, IL are:
What cities near Alsip, IL are hiring for Data Analyst Github jobs? Cities near Alsip, IL with the most Data Analyst Github job openings:
Infographic showing various Data Analyst Github job openings in Alsip, IL as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $84,127 per year, or $40.4 per hour.

Data Integration Consultant

Pandata Group

Chicago, IL

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago


Job description

**This role is open to any candidate in the United States**

Pandata Group is a cloud-first data analytics services firm that builds data-driven communities. Our mission is to create a legacy of impactful growth for individuals, organizations, and communities by sharing what we do best. This is balanced with a vision to help organizations evolve into a focused, fast, flexible and fun data science community that engages employees at all levels of an organization.

As one of our Data Integration Consultants, you love a challenge and are eager to learn. You will work closely with our internal teams and clients to find creative ways to integrate, enrich, and clean information in cloud-based and on-premise infrastructures. You may also be called on to analyze data to uncover to uncover insights.

Pandata Group’s hiring philosophy is based on culture, intelligence and then skills. Here’s what we mean by that:

Culture

We are looking for people who want to join an active community of engaged individuals who see business as more than just a vehicle to make money. We care about our people, clients, and our wider community. Come join us on this journey!

Intelligence

People often ask what it takes to succeed at Pandata Group – you have to be smart without having an ego. What does that mean? Imagine working with a group of your smartest friends who all love to learn. Everyone is always pushing each other to grown and innovate at a pace that can only be called furious. We are never idle or stagnant. We seek and share knowledge. We are comfortable with the unknown.

What You’ll Do:

  • Collaborate, as part of team, to build end-to-end data pipeline capabilities.
  • Guide clients on optimizing their data environments to work most effectively and efficiently for them.
  • Develop a data model around stated use cases to capture client’s KPIs and data transformations.
  • Implement and provide advice on the Snowflake Data Cloud.
  • Implement and provide and advise on ELT tools such as Matillion and Talend.

Skills You Bring to Pandata Group:

  • Bachelor’s degree in a technical or quantitative field (e.g. Computer Science, Math, Economics Statistics).
  • 3-5 years of work experience in the data analytics space.
  • Previous experience in the consulting space is a plus
  • A passion for exploring and solving different kinds of problems.
  • Advanced in SQL.
  • A desire to learn and assimilate technical information quickly.
  • Bonus points for:
  • Exposure to developer tools/ workflow (e.g. git/github, SSH)
  • Knowing how to get around a command line environment
  • Experience with cloud ecosystem (Snowflake, Azure Synapse, AWS)
  • Experience with business visualization tools (e.g., Power BI, Tableau, Looker)
  • Experience with data warehousing and data modeling techniques (Kimball, Data Vault)
  • Experience optimizing database/ query performance
  • Proficiency with a scripting language (e.g. Python, R, Perl, bash)
  • Certifications in Snowflake, Talend, Microsoft, AWS

What Pandata Group Brings to You:

  • A challenging, dynamic and rewarding work environment which fosters rapid professional growth in a space that is at the forefront of information technology.
  • An unparalleled opportunity to gain in depth operational experience across a variety of industries and organizational departments.
  • The opportunity to explore and put into practice cutting edge technology on a regular basis.
  • An incentivized development program that enhances your skill set with professional training and certifications.
  • Competitive merit-based compensation and bonus packages that rapidly reward passionate and driven team members.
  • Small company culture, with big company benefits: 4 Weeks PTO (5 Weeks after 5 Years), HMO/ PPO, Dental, Life, Vision, HSA, 401(k) with matching funds.
  • A work hard/play hard, familial culture that loves to get together whenever we can for great food (and drink), sporting events, etc. We are equal parts passionate about our people and our work and we like to enjoy ourselves while doing it.