1

Data Analyst Github Jobs (NOW HIRING)

Data Analyst

Whitestone, NY · On-site

$75K - $90K/yr

Demonstrated ability to take analytics/reporting/data science projects from start to finish ... Applicants should also provide links to their GitHub profiles or portfolios

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

Denver, CO · On-site

$65K - $85K/yr

Data Analyst Location: Onsite, Denver, CO Position Summary The Data Analyst supports the Client ... GitHub, R, Qualtrics, Tableau or Power BI, ArcGIS * 1+ years of experience supporting federal ...

Be Seen First

Data Analyst

Philadelphia, PA · On-site

$65K - $85K/yr

Data Analyst Location: Onsite, Philadelphia, PA Position Summary The Data Analyst supports the ... GitHub, R, Qualtrics, Tableau or Power BI, ArcGIS * 1+ years of experience supporting federal ...

Data Analyst

Kansas City, MO · On-site

$65K - $85K/yr

Data Analyst Location: Onsite, Kansas City, MO Position Summary The Data Analyst supports the ... GitHub, R, Qualtrics, Tableau or Power BI, ArcGIS * 1+ years of experience supporting federal ...

Data Analyst

Atlanta, GA · On-site

$65K - $85K/yr

Data Analyst Location: Onsite, Atlanta, GA Position Summary The Data Analyst supports the Client ... GitHub, R, Qualtrics, Tableau or Power BI, ArcGIS * 1+ years of experience supporting federal ...

Data Analyst

Dallas, TX · On-site

$65K - $84K/yr

Data Analyst Location: Onsite, Dallas, TX Position Summary The Data Analyst supports the Client ... GitHub, R, Qualtrics, Tableau or Power BI, ArcGIS * 1+ years of experience supporting federal ...

Be Seen First

Data Analyst

Washington, DC · On-site

$65K - $85K/yr

Data Analyst Location: Onsite, Washington DC Position Summary The Data Analyst supports the Client ... GitHub, R, Qualtrics, Tableau or Power BI, ArcGIS * 1+ years of experience supporting federal ...

next page

Showing results 1-20

Data Analyst Github information

See salary details

$34K

$82.6K

$136K

How much do data analyst github jobs pay per year?

As of Aug 15, 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 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.

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 August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

$75K - $90K/yr

Full-time

Re-posted 20 days ago


Job description

Restaurant Depot is the leading wholesale distributor of food, equipment and supplies to independent grocery retailers and foodservice operators across the United States.


We seek a highly motivated, technically proficient and business savvy data scientist for our growing analytics function. You will have the opportunity to work on a variety of interesting data science projects that have far-reaching implications for all stakeholders across our organization.


Job Description

  1. 3 or more years’ experience in a data analyst or data scientist role
  2. Demonstrated ability to take analytics/reporting/data science projects from start to finish – including data engineering, descriptive analysis, predictive modelling, reporting, and visualizations
  3. Advanced knowledge of Python – especially with respect to the data analysis, statistical modelling, and machine learning stacks
  4. Expertise using SQL to extract and transform data - advanced knowledge of writing efficient SQL queries and stored procedures required
  5. Experience in extracting, cleaning, validating, and analyzing datasets from different data sources with varying levels of data quality
  6. Experience writing DAGs in Apache Airflow
  7. Experience using Docker to containerize workflows
  8. Experience interacting with *nix OS’ through the command line
  9. Experience with Plotly Dash or Streamlit
  10. Familiarity with Selenium is a plus
  11. Familiarity with numerical optimization is a plus
  12. Bachelor’s Degree or higher in Analytics / Statistics / Data Science or other related subjects
  13. Strong working knowledge of utilizing standard MS Office tools (Excel, Word, and Power Point)
  14. Ability to multi-task and adjust priorities based on workload and direction from management
  15. Self-motivated to document processes and teach others


Candidates that do not demonstrate all of the above are still strongly encouraged to a

apply


  1. Applicants should submit a paragraph summarizing one of their data science projects – the challenges they faced and how they overcame it
  2. Applicants should also provide links to their GitHub profiles or portfolios