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Data Analyst Github Jobs in Boston, MA (NOW HIRING)

Strategy / Technology / Product AI coding tools (e.g., GitHub Copilot, Amazon CodeWhisperer ... Create process flows, data mappings, and compliance documentation to support solution design.

New

Strategy / Technology / Product AI coding tools (e.g., GitHub Copilot, Amazon CodeWhisperer ... Create process flows, data mappings, and compliance documentation to support solution design.

New

... analyze, and access large-scale scientific and business datasets. This role requires strong ... GitHub Actions, or similar tools Infrastructure as Code Agile and DevOps methodologies Core ...

You won't just be gathering requirements; you will be getting your hands dirty with data, building ... with Github, Gearset, DevOps Center, or similar DevOps tool. * Experience with Shopify Plus and ...

Lead Data Scientist

Malden, MA ยท On-site

$144K - $198K/yr

Proficient in SQL, Python, ML modeling, and time-series analytics; hands-on AI-assisted coding against Snowflake tables, pipeline orchestration, GitHub for CI/CD, Azure data platform * Effective AI ...

Analyze data using SQL and Power BI to identify trends, measure outcomes, and support business ... Leverage emerging AI-enabled productivity tools such as GitHub Copilot, Jira Rovo, Confluence AI ...

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IT Data Engineer - BB4352

Cambridge, MA ยท On-site

$70 - $95/hr

... analyze, and access large-scale scientific and business datasets. This role requires strong ... o Jenkins, GitHub Actions, or similar tools o Infrastructure as Code o Agile and DevOps ...

Candidates must possess excellent data analytical and communication skills, be self-motivated ... Demonstrated use of GenAI-assisted tools (e.g., GitHub Copilot, Claude Code) Qualifications * 7+ ...

Showing results 21-40

Data Analyst Github information

See Boston, MA salary details

$36.9K

$89.8K

$147.8K

How much do data analyst github jobs pay per year?

As of Aug 13, 2026, the average yearly pay for data analyst github in Boston, MA is $89,780.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,900.00 and $105,400.00 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 near Boston, MA are hiring for Data Analyst Github jobs?

Cities near Boston, MA with the most Data Analyst Github job openings:

Business Analyst

3B Staffing LLC

Woburn, MA โ€ข Remote

Full-time

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

Business Analyst (AI/Healthcare/FIHR/HIPAA) Experience: 5-10 Years Location: Remote Department: Strategy / Technology / Product AI coding tools (e.g., GitHub Copilot, Amazon CodeWhisperer, Tabnine) is a MUST! Please make sure it is listed within the body of the resume! Healthcare Experience is 100% required on the PAYER side - FIHR, HIPPA!!! The above are nonnegotiable! Position Summary: We are seeking a detail-oriented and strategic Business Analyst to support digital transformation initiatives across healthcare and enterprise platforms. The ideal candidate will have experience in regulatory compliance, customer journey mapping, and agile delivery. Proficiency in using AI-powered productivity and coding tools (e.g., Microsoft Copilot, ChatGPT, GitHub Copilot) is essential to streamline workflows and enhance analysis. Key Responsibilities
    • Collaborate with product managers, developers, and stakeholders to gather and document business requirements.
    • Analyze regulatory mandates (e.g., CMS, HIPAA) and translate them into actionable system requirements.
    • Lead customer journey mapping and identify opportunities for digital experience enhancements.
    • Develop and maintain high-level feature stories, epics, and detailed user stories in agile tools (e.g., JIRA, Rally).
    • Facilitate refinement and grooming sessions to ensure alignment across cross-functional teams.
    • Use AI tools to accelerate documentation, analysis, and decision-making processes.
    • Create process flows, data mappings, and compliance documentation to support solution design.
    • Monitor project progress and support iterative delivery through agile ceremonies.
    • Contribute to risk identification and mitigation strategies during solution development.
    • Support integration of APIs (e.g., FHIR, REST) and digital communication platforms.
Required Skills & Qualifications
    • 5-10 years of experience as a Business Analyst in healthcare, insurance, or enterprise technology.
    • Strong understanding of compliance frameworks and digital transformation strategies.
    • Experience with agile methodologies and tools (e.g., JIRA, Rally, MIRO).
    • Proficiency in using AI tools for documentation, analysis, and collaboration.
    • Excellent communication and stakeholder engagement skills.
    • Ability to translate complex business needs into clear technical requirements.
    • Familiarity with customer journey mapping and UX optimization.
    • Experience with API integration and data flow modeling.
Preferred Qualifications
    • Experience with FHIR-based APIs and CMS interoperability mandates.
    • Exposure to Generative AI applications in business workflows.
    • Knowledge of tools like Power BI, Confluence, and Visio.
    • Agile certification (e.g., PMI-ACP, SAFe, Scrum Master).
    • Bachelor's degree in Business, Information Systems, or related field.