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Data Analyst Github Jobs in Ohio (NOW HIRING)

Greenfield Talent

Data Engineer (Remote)

Cleveland, OH · Remote

$111K - $133K/yr

We're looking for a Data Engineer to join our Data & Analytics team and take ownership of the data ... Experience using GitHub for version control Nice to Have * Exposure to enterprise integration ...

Judge Group, Inc.

Data Engineer

Cincinnati, OH · On-site

$60 - $70/hr

... Analytics or another STEM degree. * 4+ years of professional Data Development experience. * 4+ ... Experience with GitHub SaaS/GitHub Actions. Experience understanding Databricks concepts.

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Data Analyst Github information

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$32.3K

$78.6K

$129.3K

How much do data analyst github jobs pay per year?

As of Sep 6, 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.

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 are popular job titles related to Data Analyst Github jobs in Ohio?

For Data Analyst Github jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Data Analyst Github jobs in Ohio look for?

The top searched job categories for Data Analyst Github jobs in Ohio are:

What cities in Ohio are hiring for Data Analyst Github jobs?

Cities in Ohio with the most Data Analyst Github job openings:

Data Analyst Github jobs near you
Infographic showing various Data Analyst Github job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, 1% Temporary, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $78,566 per year, or $37.8 per hour.

Data Analyst Level 2

Gurus Infotech, Inc.

Cincinnati, OH • On-site

Other

Posted 12 days ago

Job description

Data Analyst Level 2

Location: Cincinnati, Ohio & Lake Mary , FL

Position Description:

This developer will be deconstructing existing code and recreating the same requirements and functionality into a new process. This will also include supporting and troubleshooting ELT issues in both the existing and new Frameworks as development work is taking place. This will also include keeping open lines of communication with the customer to ensure the data is meeting their requirements.


Essential Job Functions:

  • Deploying code to Github
  • Extensive use of SQL
  • Creation of data quality queries to ensure key data is accounted for
  • Directly communication with contacts supplying data to help resolve data related issues.
  • Creation and edit of YAML files in new Framework
  • Collaboration with Framework Development staff to trouble shoot issues or create requirements to ensure the Framework can support the data ELT
  • Trouble shoot and resolve job issues within Framework and Infra ticketing system
  • Evaluate existing processes and identity what needs to be done to move code from old framework to the new framework
  • Query data in Hadoop using both Hive and Impala
  • Collaboration with SME to validate data or trouble shoot issues
  • Must be able to perform essential functions with reasonable accommodations
  • Complete other assigned work as necessary

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