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Data Analyst Github Jobs in Columbus, OH (NOW HIRING)

... GitHub, and generative AI platforms or large language models (LLMs). * 2+years of experience ... Demonstrated ability to analyze data, translate technical findings into business risk language, and ...

Data Engineer

Columbus, OH · Remote

$110K - $132K/yr

Design, build, and maintain scalable data pipelines that support reporting, analytics, and ... Familiarity with AI-assisted development tools such as Claude Code, GitHub Copilot, or similar ...

Data Engineer

Columbus, OH · Remote

$110K - $132K/yr

Design, build, and maintain scalable data pipelines that support reporting, analytics, and ... Familiarity with AI-assisted development tools such as Claude Code, GitHub Copilot, or similar ...

Data Engineer

Columbus, OH · Remote

$110K - $132K/yr

Design, build, and maintain scalable data pipelines that support reporting, analytics, and ... Familiarity with AI-assisted development tools such as Claude Code, GitHub Copilot, or similar ...

GCP Data Engineer

Columbus, OH · Hybrid

$110K - $132K/yr

Leverage AI-assisted development tools such as GitHub Copilot and other modern engineering ... Bachelor's degree in Computer Science, Engineering, Information Technology, Data Analytics, or a ...

Analyze and deconstruct complex operational and financial reporting workflows from legacy systems ... Ability to train and guide developers in using version control tools like GitHub. (High proficiency)

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Data Analyst Github information

See Columbus, OH salary details

$31.8K

$77.2K

$127.1K

How much do data analyst github jobs pay per year?

As of Aug 25, 2026, the average yearly pay for data analyst github in Columbus, OH is $77,214.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,400.00 and $90,600.00 per year, depending on experience, location, and employer.

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.

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 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 Columbus, OH look for?

The top searched job categories for Data Analyst Github jobs in Columbus, OH are:

What cities near Columbus, OH are hiring for Data Analyst Github jobs?

Cities near Columbus, OH with the most Data Analyst Github job openings:

Data Science Senior Associate - Onboarding & Engagement Marketing Analytics

Columbus, OH • On-site


JPMorgan Chase & Co
Finance and Insurance • 10K+ employees

8.0

Company rating: 8.0 out of 10

Based on 497 frontline employees who took The Breakroom Quiz

71st of 172 rated banks

People enjoy working here

Good employer

Recommended by students


$81K - $101K/yr

Full-time

Medical, Retirement

Re-posted 25 days ago


Job description

As Data Scientist, you'll own the analytics strategy behind onboarding and engagement marketing campaigns-turning data into decisions that strengthen long-term customer relationships and optimize multimillion-dollar marketing investments. You'll sit in the engine that powers Chase with insights, with significant opportunities for learning, mobility, and career growth. Our team embraces AI as a force multiplier-not just to move faster, but to think bigger.

 

Job Responsibilities-

  • Translate unstructured business questions into rigorous customer behavior analyses-defining what "success" looks like for onboarding and engagement campaigns and building the measurement frameworks to prove it
  • Lead A/B and incrementality testing-from experimental design through interpretation and recommendation
  • Build and contribute to reusable data products-curated datasets, features, and pipelines-that power both analyst-led insights and emerging agentic AI solutions
  • Identify gaps in how we measure, target, or engage customers today-and lead the work to close them
  • Present findings and recommendations to stakeholders and senior management
  • Partner with Data & Analytics teams and business stakeholders on experimental design and data strategy

We expect you to challenge existing approaches and leave our analytics better than you found them.

Required qualifications, capabilities and skills:

  • Master's degree in a quantitative discipline (Data Science/Analytics, Mathematics, Statistics, Engineering, Economics, Finance, or related field) OR equivalent directly applicable experience
  • 3+ years applying statistical methods to real-world problems (marketing analytics experience preferred)
  • 3+ years of SQL experience, proficiency in Python (preferred) or R, and experience with data visualization tools (Tableau preferred)
  • Ability to independently troubleshoot and resolve technical, data, and analytical problems-digging into root causes rather than waiting for answers
  • Comfort using AI tools (e.g., GitHub Copilot, Claude Code, Cortex) to accelerate day-to-day analytics work and as a thought partner for exploratory analysis, pressure-testing hypotheses, and rapid prototyping
  • Strong written and verbal communication skills, with the ability to articulate results to all levels of management

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.


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