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Data Analyst Github Jobs (NOW HIRING)

... GitHub Copilot, ChatGPT or equivalent) to accelerate data queries , reporting and analysis _____ Non-Technical / Soft Skills: Performance Engineering Analysis, troubleshooting, and resolution of ...

New

This individual will support in the analysis of data from various sources as a part of testing ... Git (GitLab, GitHub, or bare Git), Apache Subversion, or BitBucket * Experience with Python, C#, C ...

This individual will support in the analysis of data from various sources as a part of testing ... Git (GitLab, GitHub, or bare Git), Apache Subversion, or BitBucket * Experience with Python, C#, C ...

YOUR ROLE The Data Analyst is a key early member of Stio's Data & Analytics team, working alongside ... You'll work in a stack built around Snowflake, Fivetran, dbt, Power BI, GitHub, and increasingly ...

YOUR ROLE The Data Analyst is a key early member of Stio's Data & Analytics team, working alongside ... You'll work in a stack built around Snowflake, Fivetran, dbt, Power BI, GitHub, and increasingly ...

YOUR ROLE The Data Analyst is a key early member of Stio's Data & Analytics team, working alongside ... You'll work in a stack built around Snowflake, Fivetran, dbt, Power BI, GitHub, and increasingly ...

YOUR ROLE The Data Analyst is a key early member of Stio's Data & Analytics team, working alongside ... You'll work in a stack built around Snowflake, Fivetran, dbt, Power BI, GitHub, and increasingly ...

YOUR ROLE The Data Analyst is a key early member of Stio's Data & Analytics team, working alongside ... You'll work in a stack built around Snowflake, Fivetran, dbt, Power BI, GitHub, and increasingly ...

YOUR ROLE The Data Analyst is a key early member of Stio's Data & Analytics team, working alongside ... You'll work in a stack built around Snowflake, Fivetran, dbt, Power BI, GitHub, and increasingly ...

YOUR ROLE The Data Analyst is a key early member of Stio's Data & Analytics team, working alongside ... You'll work in a stack built around Snowflake, Fivetran, dbt, Power BI, GitHub, and increasingly ...

Data Analyst - New York, NY Location : New York, NY Duration : 12 months Only ON W2 No C2C : There ... Comfortable working in GitHub and collaborative repos; ideally, be able to work with command line ...

Data Analyst

San Francisco, CA · On-site

$100K - $170K/yr

Backed by Khosla Ventures, Nat Friedman (former GitHub CEO), and Rich Miner (Android co-founder ... Respond directly to customer data and analytics requests * Build ad-hoc reports and answer business ...

Enterprise Data Analyst

Columbia, MO · On-site

$69K - $86K/yr

It's your career, Shelter it! Enterprise Data Analyst $69,742 - $86,474 / year minimum starting pay ... Experience with Github, dbtLabs is desired. * Experience with Data Catalog & lineage tool is ...

Senior Data Analyst

$115K - $135K/yr

ABOUT THE TEAM The Bestow Analytics team is a highly visible and dedicated team, working across the ... Use SQL, dbt, CI/CD, Github, and Google Cloud to automate data transformation pipelines that flow ...

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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 Jun 12, 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.

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.

More about Data Analyst Github jobs
What cities are hiring for Data Analyst Github jobs? Cities with the most Data Analyst Github job openings:
What states have the most Data Analyst Github jobs? States with the most job openings for Data Analyst Github jobs include:
Infographic showing various Data Analyst Github job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Analyst

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Job description

Job Description:
 
Data Analyst  / Modeler
Role Overview:
This position targets a Data Analyst/ Modeler with a strong foundation in large-scale data processing. The role demands both depth (hands-on expertise) and breadth (end-to-end understanding) understanding of Data and Financial services  product. 
 
Note : While the profile is similar to both , for the modeler I would be focusing on data model creation while the data analyst will be less on modeling.
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Experience Requirements:
Requirement Details
Total Experience 5+ years in Data Analysis
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Core Technical Skills:
Programming Languages
• Python 
Data Formats
• XML, JSON, Parquet, Avro, Protobuf – Familiarity with multiple serialization/storage formats
Data & Query
• SQL – Strong query building, analysis, troubleshooting, and optimization skills
Business Knowledge
• Financial Instruments – Understanding of financial instruments especially Derivative products 
• Data modeling – Understanding of data modeling for Journals and accounting will be a good skill
AI & Productivity Tools
• Ability to leverage AI tools (e.g., GitHub Copilot, ChatGPT or equivalent) to accelerate data queries , reporting and analysis
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Non-Technical / Soft Skills:
Performance Engineering Analysis, troubleshooting, and resolution of system performance issues
Multi-tasking Ability to work under pressure in a fast-paced environment
Learning Agility Proactive, enthusiastic, willing to learn and apply new concepts quickly
Problem Solving Demonstrated analytical and structured problem-solving skills
Adaptability Dynamic, flexible, high energyÂ