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Data Analyst Github Jobs in Ohio (NOW HIRING)

Minimum 6 years of experience in Reporting, Data Analytics and building data pipelines. * Minimum 5 years of experience working with CI/CD pipelines using Code repositories like Gitlab, GitHub, etc ...

Minimum 6 years of experience in Reporting, Data Analytics and building data pipelines. * Minimum 5 years of experience working with CI/CD pipelines using Code repositories like Gitlab, GitHub, etc ...

Data Engineer II

Lakewood, OH · On-site

$103K - $123K/yr

... GitHub (or similar), Azure DevOps, CI/CD Pipeline development. * 3+ years hands on in analyzing, designing which involve Data pre-processing , Data Extraction , Data Ingestion , Data Quality ,Data ...

Lead Data Scientist

Euclid, OH · On-site

$144K - $198K/yr

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

... GitHub (or similar), Azure DevOps, CI/CD Pipeline development. * 3+ years hands on in analyzing, designing which involve Data pre-processing , Data Extraction , Data Ingestion , Data Quality ,Data ...

AlloBaas - Data Engineer II

Lakewood, OH · On-site +1

$103K - $123K/yr

... GitHub (or similar), Azure DevOps, CI/CD Pipeline development. * 3+ years hands on in analyzing, designing which involve Data pre-processing , Data Extraction , Data Ingestion , Data Quality ,Data ...

AlloBaas - Data Engineer II

Lakewood, OH · On-site +1

$103K - $123K/yr

... GitHub (or similar), Azure DevOps, CI/CD Pipeline development. * 3+ years hands on in analyzing, designing which involve Data pre-processing , Data Extraction , Data Ingestion , Data Quality ,Data ...

Senior Data Engineer

Hudson, OH

$96K - $131K/yr

Design data models and schemas for reporting and analytics use cases, applying normalization and ... Contribute to internal engineering standards: version control (GitHub), CI/CD, infrastructure as ...

Python/Sql Developer - Remote

Columbus, OH · On-site

$47 - $64.75/hr

We want data science/machine learning/data analyst and Java full stack candidates. For data science ... Docker, Jenkins, Github, Kubernates, and REST API's experience excellent written and verbal ...

Develop automated Test Data Management capabilities across the program ecosystem. Provide solutions ... GitHub) Strong experience in risk-based approach for implementing End to End test strategies ...

$54K - $100K/yr

Analytical experience with STATA, R, Overleaf/LaTeX, Git/Github preferred Preferred Requirements * Master's degree with significant coursework on empirical methods and data analysis Work Mode ...

... data analysis oAbility to understand APIs, review code in GitHub, testing in Postman oBe comfortable troubleshooting problems oNot afraid to learn new technologies in order to follow job flows ...

This role ensures that data pipelines, storage systems, and analytics platforms operate efficiently ... Automate deployments using CI/CD pipelines (Azure DevOps, GitHub Actions, or equivalent)

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Data Analyst Github information

See Ohio salary details

$32.3K

$78.6K

$129.3K

How much do data analyst github jobs pay per year?

As of Jul 4, 2026, the average yearly pay for data analyst github in Ohio is $78,566.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,400.00 and $92,200.00 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 on 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 are Data Analysts on 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.

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 cities in Ohio are hiring for Data Analyst Github jobs? Cities in Ohio with the most Data Analyst Github job openings:
Infographic showing various Data Analyst Github job openings in Ohio as of June 2026, with employment types broken down into 25% Full Time, 71% Part Time, 1% Contract, and 3% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $78,566 per year, or $37.8 per hour.
Marketing Data Scientist Senior Associate - Consumer Bank

Marketing Data Scientist Senior Associate - Consumer Bank

JP Morgan Chase

Columbus, OH • On-site

$55K - $56K/yr

Full-time

Medical, Retirement

Posted 9 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 486 frontline employees who took The Breakroom Quiz

54th of 144 rated banks


Job description

Join a team where your analysis directly influences how Chase invests in consumer banking growth. You'll help measure marketing effectiveness, turn test learnings into strategy, and improve how we optimize marketing spend through a robust present value framework-while learning alongside a collaborative, inclusive group of data professionals.

As a Consumer Bank Marketing Analytics Data Scientist at JPMorganChase within Consumer & Community Banking Data & Analytics, you will evaluate customer acquisition quality for deposit marketing initiatives, inform campaign strategy through rigorous experimentation, and improve investment decisions using present value modeling. You will develop, maintain, and enhance present value models and ad hoc estimates, and you will partner closely with stakeholders to translate analytical results into clear business recommendations that improve customer and business outcomes.

Job responsibilities

  • Create, maintain, and evaluate present value calculations and related assumptions to assess acquisition quality and investment performance
  • Provide analytical support for deposit marketing initiatives, including campaign insights, recommendations, and strategic guidance
  • Contribute to portfolio investment optimization and business-facing quality assumptions that inform marketing investment decisions
  • Support finance processes by providing inputs to budgeting and forecasting, including return on investment and cost-benefit evaluations
  • Consult on experimental design and data collection, partnering with stakeholders and other Data & Analytics teams to develop and refine strategies
  • Interpret analytical results and present insights to stakeholders and senior management in a clear, concise, and actionable way
  • Participate in innovation efforts to advance analytical methods, while maintaining a strong controls environment to ensure accurate and timely results

Required qualifications, capabilities and skills

  • Bachelor's and Master's degree in a quantitative discipline (Data Science, Analytics, Mathematics, Statistics, Physics, Engineering, Economics, Finance, or related fields)
  • 3+ years of experience applying statistical methods to real-world problems
  • 3+ years of experience using SQL for data analysis
  • 3+ years of experience using R for analytics 
  • Experience supporting finance workstreams, including budgeting, forecasting, and return on investment or cost-benefit evaluations
  • Hands-on experience with A/B testing and incrementality testing, including experimental design, statistical significance evaluation, and translating results into business recommendations
  • Demonstrated experience using AI-assisted development tools (such as GitHub Copilot, Claude Code, or similar) to accelerate analysis and code development
  • Experience with data visualization for analysis and presentation 
  • Strong written, verbal, and presentation skills, with experience communicating effectively across levels and partner groups

Preferred qualifications, capabilities and skills

  • 3+ years of applied experience using Python
  • Experience in marketing analytics, including customer acquisition and campaign measurement
  • Experience building data visualizations for analysis and presentations; Tableau preferred
  • Demonstrated ability to solve unstructured problems independently while maintaining strong stakeholder alignment
  • Strong strategic, organizational, and relationship-building skills to prioritize multiple initiatives and deliver on business goals on time

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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