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Data Analyst Github Jobs in New York (NOW HIRING)

Data Analytics Manager

New York, NY ยท On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Manager, Data Analytics About Us: Rent the Runway (RTR) is transforming the way we get dressed by ... Experience with code management and deployment on GitHub. * Demonstrated ability to lead analytics ...

Data Architect

Woodbridge, NJ ยท 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 ...

Senior Data Scientist

Armonk, NY ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Maintain code and machine learning pipelines using GitHub and Azure Machine Learning REQUIREMENTS: * 7+ years of experience in Data Science, Machine Learning, or Predictive Analytics * Strong Python ...

Data Engineer

Manhattan, NY ยท On-site

$119K - $150K/yr

  • Medical

  • Retirement

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 - Hybrid On-Site

Jersey City, NJ ยท Hybrid

$123K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... GitHub and GitOps. - Create automation scripts using Python and Unix shell scripting to streamline ... Experience with business intelligence and analytics tools such as OBIEE/OAS NTT DATA provides a ...

Data Scientist

New York, NY ยท On-site

$108K - $135K/yr

... analysis or data science. In particular: * You are proficient in Python and SQL and an early adopter of AI coding tools such as Cursor, Claude, Codex, or GitHub Copilot. * Experience building data ...

Data Steward - Data Operations (NY)

New York, NY ยท Hybrid

$75K - $90K/yr

  • Retirement

  • PTO

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.

Data Steward - Data Operations (NY)

New York, NY ยท On-site

$75K - $90K/yr

  • Retirement

  • PTO

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.

Data Scientist

New York, NY ยท On-site

$250K - $350K/yr

A strong public portfolio of work, such as a prominent GitHub profile, open-source contributions, technical publications, or exceptional independent analyses. * Experience applying data science ...

Experience with Git, GitHub, or other code versioning tools is a plus * Basic statistical analysis, data science, or machine learning experience is a plus * Experience in Media, Television ...

Data Scientist

Manhattan, NY ยท On-site

$250 - $350/hr

A strong public portfolio of work, such as a prominent GitHub profile, open-source contributions, technical publications, or exceptional independent analyses. * Experience applying data science ...

Data Scientist

Manhattan, NY ยท On-site

$250 - $350/hr

A strong public portfolio of work, such as a prominent GitHub profile, open-source contributions, technical publications, or exceptional independent analyses * Experience applying data science ...

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Showing results 41-60

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 14, 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, 81% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $90,411 per year, or $43.5 per hour.

Applied Data Science Specialist (2257)

Stone Alliance Group Career Page

New York, NY โ€ข Hybrid

$96K - $120K/hr

Full-time

Medical, Retirement

Re-posted 7 days ago


Job description

Our client is seeking an Applied Data Science Specialist to join their Center for Data Analytics, Innovation, and Rigor team in New York City.

As part of the Center for Data Analytics, Innovation, and Rigor team, you will report to Technical Project Manager. You will will design and conduct advanced data analyses and develop machine learning models for use in mental health research. You will perform analyses on large datasets, collected using a range of multi-modal methods, including cognitive assessments (both paper-and-pencil and digitized formats), surveys, and other multimodal biometric modalities. You will be chiefly responsible for the design, documentation, and execution of experiments that advance our understanding of both existing data collection and assessment tools in the mental health space, as well as downstream analytic models that seek to apply these measurements.

This exempt, full-time, hybrid position requires a minimum of four (4) days per week in the office, on a schedule determined by your supervisor in our NYC headquarters office. The in-office requirement and schedule are subject to change based on the needs of the program and the organization.

Our client is dedicated to transforming the lives of children and families struggling with mental health and learning disorders by giving them the help they need. They have become the leading independent nonprofit in children's mental health by providing gold-standard evidence-based care, delivering educational resources to millions of families each year, training educators in underserved communities, and developing tomorrow's breakthrough treatments.

Responsibilities:

- Design and implement analytical workflows including data preprocessing, feature engineering, model development, scientific analyses, data visualization, and validation.

- Contribute to effective, scalable, well-documented code that is suitable for high performance computing ecosystems and shared to GitHub, or equivalent,repositories for version control.

- Perform organization, aggregation, pre-processing, and analysis of large data sets using high-performance computing infrastructures.

- Apply both pre-trained and custom-made machine learning models and data manipulation pipelines to research and clinical contexts, ensuring the responsible handling of sensitive data.

- Write documentation and text for scientific or public dissemination of knowledge and attend and present at meetings.

- Assist with the definition of project and collaboration objectives, tasks, and deliverables at the outset of new efforts, and support ongoing monitoring of progress and alignment.

- Perform additional job-related duties as assigned

Qualifications:

- Bachelor's in Neuroscience, Psychology, Engineering, Computer Science or equivalent combination of education and experience.

- 5+ years of experience in data analysis and data science fundamentals (e.g.,algorithms, data structures, data visualization, machine learning), preferably in a clinical or research setting.

- 5+ years of experience including education in at least one scientific programming language (e.g., Python/R, Matlab) and related toolboxes or frameworks (e.g.,Tidyverse, Scipy, Sklearn, Polars, Pytorch) is required.

- 3+ years of experience including education working in a Linux environment, using version control systems (e.g., GitHub), and software virtualization platforms (e.g.,Docker).

- 3+ years of practical experience designing and developing ML and NLP technologies using ML and NLP toolchains (e.g., pytorch, tensorflow, SpaCy,HuggingFace, NLTK.)

Special Considerations:

The anticipated salary range for this position is $96,000 - $120,000 USD annually.

Our client's competitive compensation and benefits include medical insurance, 401(k), paid parental leave, dependent care, flexible work schedules, discounted tickets and entertainment perks programs.

The salary range for the position is posted. Factors such as candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations affect the salary offered within this range. In addition, this salary may be subject to a geographic adjustment (according to a specific city and state and depending on the role), if an authorization is granted to work outside of the location listed in this posting.

Our client is an equal opportunity employer and does not discriminate in employment based on race, religion (including religious dress and grooming practices), color, sex/gender (including pregnancy, childbirth, breastfeeding or related medical conditions), sex stereotype, gender identity/gender expression/transgender (including whether or not you are transitioning or have transitioned) and sexual orientation; national origin (including language use restrictions and possession of a driver's license issued to persons unable to prove their presence in the United States is authorized under federal law [Vehicle Code section 12801.9]); ancestry, physical or mental disability, medical condition, genetic information/characteristics, marital status/registered domestic partner status, age (40 and over), sexual orientation, military or veteran status, or any other basis protected by federal, state or local law or ordinance or regulation.