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Data Analyst Github Jobs (NOW HIRING)

Versant Media

Sr. Data Analyst

Orlando, FL

$80K - $101K/yr

This Senior Data Analyst role sits within the AI, Modeling, and Strategy team (AIMS), part of the ... Familiarity in using GitHub for version control, collaborative development, code reviews, CI/CD ...

Splice

Staff Data Analyst (Remote US)

$160K - $200K/yr

Staff Data Analyst LOCATION: REMOTE THE ROLE: As a Staff Data Analyst, you will play a central role ... We use Segment, Amplitude, LaunchDarkly, Omni, GitHub , BigQuery, SQLMesh, and Fivetran - among ...

FAVARH

Senior Investment Data Analyst

Atlanta, GA · Hybrid

$82K - $104K/yr

Analyze investment data across asset classes such as fixed income, equities, derivatives, and ... Use approved AI tools such as GitHub Copilot and Microsoft Copilot to improve requirements ...

System One

Data & Systems Analyst

Mclean, VA · Remote

Data & Systems Analyst - Modernization Location: McLean, VA - can be Remote (EST) Type: Contract to ... Experience using AI-assisted tools such as ChatGPT, GitHub Copilot, Amazon Q, Claude, or Amazon ...

System One

Data & Systems Analyst

Mclean, VA · Remote

Data & Systems Analyst - Modernization Location: McLean, VA - can be Remote (EST) Type: Contract to ... Experience using AI-assisted tools such as ChatGPT, GitHub Copilot, Amazon Q, Claude, or Amazon ...

SNAP Diagnostics

IT Data Analyst II

Anderson, SC

The IT Data Analyst provides data, reporting, and analytics support across TTI's Carolina ... Uses AI coding agents and related tools (e.g., GitHub Copilot) to accelerate development, testing ...

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Data Analyst Github information

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$34K

$82.6K

$136K

How much do data analyst github jobs pay per year?

As of Sep 1, 2026, the average yearly pay for data analyst github in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 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.

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Data Analyst Github jobs near you
Infographic showing various Data Analyst Github job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst with Security Clearance

Radiance Technologies

Huntsville, AL • On-site

Other

Re-posted 7 days ago

Job description

Radiance Technologies, a rapidly growing employee-owned company, is seeking a talented Data Analyst to support the Test and Training Group. This individual will support in the analysis of data from various sources as a part of testing efforts for multiple Government and military customers. The candidate will provide technical and analytical support by developing analysis tools and supporting live data collection and analysis at test events. The Analyst will work in a fast-paced, team-oriented environment. Job Responsibilities * Collect, catalog, compile, and analyze data from test events
* Generate reports on data collected from events
* Support running live display and analysis tools during test event
* Develop software tools to aid in the analysis of data
* Travel 25% for extended duration as assigned Required Experience and Skills: * US Citizenship with the ability to obtain and maintain a security clearance.
* Minimum of 4 years' experience in related field
* Bachelor's Degree in a relevant field (Mathematics, Computer Science, Physics, Engineering, or other STEM field)
* Familiarity with coding in Python, C#, or similar
* Ability to adapt to dynamic and frequently changing customer requirements
* Strong analytical, inference, critical thinking, and creative problem-solving skills
* Ability to work both independently and in a team environment
* Ability to travel for test events Desired Skills: * Familiarization with source management repositories such as: Git (GitLab, GitHub, or bare Git), Apache Subversion, or BitBucket
* Experience with Python, C#, C++, SQL
* Experience with visualization tools, such as SIMDIS and TENA
* Experience developing software for the Linux platform
* Basic knowledge of networking
* Experience with video processing Radiance Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

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