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Data Analyst Github Jobs in New York (NOW HIRING)

The Analyst, Marketing Data Operations will provide day-to-day operational support for the ... data quality checks, recurring ingestion processes, and operational automation * Use GitHub for ...

Data Analytics AI Engineer

New York, NY · On-site

$156K - $204K/yr

About the Team Join our global Data team, which partners closely with Product, Engineering, and GTM ... Experience with CI/CD pipelines using GitLab or GitHub for analytics or AI workloads.

Data Analytics AI Engineer

New York, NY · On-site

$156K - $204K/yr

About the Team Join our global Data team, which partners closely with Product, Engineering, and GTM ... Experience with CI/CD pipelines using GitLab or GitHub for analytics or AI workloads.

Data Architect

Woodbridge, NJ · On-site

$64.25 - $82.75/hr

... and guiding data analysts & engineers * 5+ years hands-on experience working on Greenfield ... GitHub, Maven, Gradle * 3+ years of experience with DevSecOps tools like SonarQube, GitLab ...

Data Engineer

Manhattan, NY · On-site

$119K - $150K/yr

As part of the Center for Data Analytics, Innovation, and Rigor team, you will report to Rubric ... You will use common frameworks, platforms, and languages, such as Python, SQL, GitHub ...

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

As part of the Center for Data Analytics, Innovation, and Rigor team, you will report to Rubric ... You will use common frameworks, platforms, and languages, such as Python, SQL, GitHub ...

Experience using AI-powered productivity tools (e.g., ChatGPT, Microsoft Copilot, GitHub Copilot, or similar) to improve research, documentation, data analysis, and operational efficiency preferred.

Showing results 21-40

Data Analyst Github information

See New York salary details

$37.2K

$90.4K

$148.8K

How much do data analyst github jobs pay per year?

As of Aug 6, 2026, the average yearly pay for data analyst github in New York is $90,411.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,400.00 and $106,100.00 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 cities in New York are hiring for Data Analyst Github jobs? Cities in New York with the most Data Analyst Github job openings:
Infographic showing various Data Analyst Github job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $90,411 per year, or $43.5 per hour.

Senior Analyst, Data & Insights Group

The New York Times

New York, NY

$94K - $118K/yr

Other

Re-posted 10 days ago


Job description

About the Role

The New York Times is looking for a Senior Analyst to join the Data and Insights Group (DIG).

As part of the Data and Insights Group (DIG), you will join a large community of talented analysts who partner with Product, Newsroom, Engineering, Design, Marketing, Strategy, Finance and PMO teams across the business. The ideal candidate will be curious and a collaborative team player. They are someone who understands the value of contribution to a greater whole and the importance of analytic delivery.

Responsibilities:

  • You woll formulate data-driven insights, champion them and drive them into action
  • You will build and maintain centralized reporting dashboards and automated reports to expand access to data and analytics
  • You will write SQL to build pipelines and analyze large datasets
  • You will run A/B tests, deliver test analysis and insights and advise on future tests and next steps
  • You will advise business stakeholders on areas of opportunity 
  • You will demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.

Basic Qualifications:

  • 2+ years of experience working with data analytics or data science teams to deliver reporting, analysis and insight
  • 1+ years of experience applying statistical methods to analytical problems
  • Proficiency in SQL and experience working with relational databases
  • Proficiency in at least one additional scripting language like R or Python
  • Experience with data visualization and presenting insights from data
  • Strong communication skills and proficiency working effectively with cross-functional teams
  • A collaborative mindset and sense of curiosity 

Preferred Qualifications:

  • 1+ years of experience working in big data environments such as BigQuery or AWS, querying 10M+ rows
  • 1+ years of experience working in dbt or other data transformation or scheduling tool
  • 1+ years of experience with version control (Github, code review)
  • 1+ years of experience with A/B testing.

REQ-020140