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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 ...

HSO Group B.V.

Data Engineer

Macedonia, OH · Hybrid

$103K - $124K/yr

... GitHub Copilot, Microsoft Copilot, or similar solutions. * Strong analytical and problem-solving ... Work with Microsoft Fabric, Azure Data Factory, AI-powered tools, and modern data engineering ...

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All JobsData Analyst Github JobsData Analyst Github Jobs in Ohio

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 Aug 16, 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 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 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, 84% Full Time, 9% Part Time, and 6% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $78,566 per year, or $37.8 per hour.

Process Data Analyst Level 2

Judge Group, Inc.

Cincinnati, OH • On-site

$40 - $45/hr

Other

Posted 15 days ago

Job description

Location: Cincinnati, OH Salary: $40.00 USD Hourly - $45.00 USD Hourly Description: Our client is currently seeking a Process Data Analyst Level 2
Job Description
The Data Analyst will be responsible for the collection, analysis, and interpretation of large datasets to uncover trends, identify opportunities, and support performance improvement initiatives. Drive operational efficiency and strategic decision-making by discovering trends and delivering actional insights. Serve as a key technical advisor supporting both field teams and corporate leadership.
Key Responsibilities
  • Top 3 skills: Power BI, R/Python, SQL (Plus: GitHub)
  • Project: The goal of this project is to Maintain Common Measures reports, develop new reports, complete ad hoc requests/analyses, support Enterprise incentive plans.
  • Translate complex datasets into clear insights and present findings to stakeholders in an actionable format
  • Develop and maintain reports and dashboards
  • Conduct pre and post launch analysis for pilots and new processes
  • Ensure data accuracy and integrity across systems and reports; perform audits and validations
  • Lead stakeholder meetings to define metrics, measurement plans, and reporting requirements
  • Monitor Key Performance Indicators and provide insights to support weekly, monthly, and quarterly business reviews
  • Collaborate with cross-functional teams to deliver recommendations that enhance customer experience and operational efficiency
  • Develop and maintain store and department savings estimate model

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Contact:
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