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

Sr Data Engineer

Boston, MA · Hybrid

$124K - $149K/yr

Analytics & AI Data Enablement - Experience supporting downstream semantic models and partnering ... Implement CI/CD pipelines for data platforms using Azure DevOps or GitHub * Establish automated ...

Sr Data Engineer

Boston, MA · Hybrid

$124K - $149K/yr

Analytics & AI Data Enablement - Experience supporting downstream semantic models and partnering ... Implement CI/CD pipelines for data platforms using Azure DevOps or GitHub * Establish automated ...

Sr Data Engineer

Woburn, MA · On-site

$125K - $150K/yr

Analytics & AI Data Enablement - Experience supporting downstream semantic models and partnering ... Implement CI/CD pipelines for data platforms using Azure DevOps or GitHub * Establish automated ...

Analyze feature impacts on user segments, behavior, retention, and Lifetime Value * Partner with ... data warehouses such as Snowflake * Experience collaborating via version control, including GitHub

Sr Data Engineer

Woburn, MA · On-site

$125K - $150K/yr

Analytics & AI Data Enablement - Experience supporting downstream semantic models and partnering ... Implement CI/CD pipelines for data platforms using Azure DevOps or GitHub * Establish automated ...

Business Systems Analyst

Somerville, MA · On-site

$103K - $140K/yr

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 ...

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

You'll work alongside senior engineers, data scientists, and analysts, gaining hands-on experience ... Familiarity with or curiosity about AI-enabled development tools (such as GitHub Copilot, Cursor ...

Business Operations Analyst

Boston, MA · On-site +1

$90K - $110K/yr

Support strategic analysis by pulling and manipulating data under Manager's direction, growing ... Familiarity with dbt, GitHub and/or GitLab * Ability to work out of Hometap's Boston office on a ...

Data Scientist I

Watertown, MA · On-site

$110K - $125K/yr

The primary focus of the role will be performing statistical analysis, building high quality ... Experience working with version control; we use github. * Experience with object-oriented ...

Data Platform Engineer

Boston, MA · On-site

$124K - $149K/yr

Data Warehouse & Analytics Infrastructure * Support the optimization and governance of our ... Familiarity with Git-based workflows and an understanding of CI/CD fundamentals (GitHub Actions ...

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

Write and tune complex SQL queries to support analytics, reporting, and data modeling needs ... Familiarity with or curiosity about AI-enabled development tools (such as GitHub Copilot, Cursor ...

Showing results 41-60

Data Analyst Github information

See Boston, MA salary details

$36.9K

$89.8K

$147.7K

How much do data analyst github jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data analyst github in Boston, MA is $89,776.00, 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.

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.

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 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 job categories do people searching Data Analyst Github jobs in Boston, MA look for?

The top searched job categories for Data Analyst Github jobs in Boston, MA are:

What cities near Boston, MA are hiring for Data Analyst Github jobs?

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

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 27 days ago


Job description

About Us
Wellington Management offers comprehensive investment management capabilities that span nearly all segments of the global capital markets. Our investment solutions, tailored to the unique return and risk objectives of institutional clients in more than 60 countries, draw on a robust body of proprietary research and a collaborative culture that encourages independent thought and healthy debate. As a private partnership, we believe our ownership structure fosters a long-term view that aligns our perspectives with those of our clients.
About the Role
Senior Systems Analyst
JOB OVERVIEW
Wellington's Global Data & Application Support team is seeking a Senior Systems Analyst to join the Data Support team that provides support to all of Wellington's critical data platforms. This individual will work closely with data producer and consumer teams regionally and globally ensuring efficient daily operations and controls. Candidates must possess excellent data analytical and communication skills, be self-motivated, willing to work in an energetic, fun, fast-pasted and team-oriented group. The ability to manage multiple priorities is required. This position requires weekend on-call rotation and special project shift coverage.
RESPONSIBILITIES
  • Work directly with Data Consumers and producers while supporting IBOR (Investment Book of Records) platform.
  • Analyze reconciliation breaks between IBOR and upstream/downstream systems.
  • Perform detailed analysis using SQL, logs, application monitoring tools
  • Focus on data support to ensure the data used by our Investment professionals is accurate and updated in a timely manner.
  • Collaborate closely with offshore colleagues and ultimately act as a point of escalation
  • Monitor and maintain data quality across internal systems and databases
  • Respond to data-related queries and troubleshoot issues from business users
  • Perform data validation, cleansing, and reconciliation tasks
  • Assist in the creation and maintenance of reports and dashboards
  • Collaborate with cross-functional teams to understand data requirements
  • Document data processes and contribute to process improvement initiatives
  • Support the onboarding of new data sources and system enhancements
  • Ensure quality of product by enforcing high standards in testing and building audit/validation controls
  • Act as an escalation point person for support issues that require detailed analysis and management
  • Provide regular status reporting and issue tracking
  • Being an adaptable, self-motivated learner with a willingness to take ownership of various projects to support in fast-paced environment
  • Provide hands-on implementation of process improvements involving internal and external data pipeline, investment process efficiency, and simplifying investor workflow.
  • Understand key business challenges /opportunities and be able to originate ideas on how systems can help in areas.
  • Partner with development teams and business analysts to solve more complex problems and help document solutions for future reuse
  • Assist with the integration of AI technologies into GDAS support processes.
  • Engage in proactive problem-solving and continuous improvement of data support methodologies.
  • Utilize SQL, prompt engineering, generative AI technologies, Python, and GraphQL to support and enhance data processes.

AI & Process Innovation:
  • Identify use cases where AI and automation can improve incident detection, triage, knowledge reuse, and operational efficiency while maintaining strong controls and compliance.
  • Hands-on experience with AI-powered tools (e.g., LLMs, copilots, chatbots, workflow automation platforms) in a business or support environment
  • Familiarity with prompt engineering and evaluating AI output quality, accuracy, and risk
  • Champion AI as a force multiplier and amplifier for the team-standardizing patterns, integrating AI into day-to-day workflows.
  • Partner with enterprise AI, data, and technology teams to pilot, scale, and continuously refine AI-enabled solutions (e.g., intelligent monitoring, summarization of incidents, automated reporting, knowledge base generation).
  • Demonstrated use of GenAI-assisted tools (e.g., GitHub Copilot, Claude Code)

Qualifications
  • 7+ years of experience in financial industry with strong understanding of portfolio accounting, investment operations, and IBOR concepts.
  • Bachelor's degree in Business Management, Computer Science, Engineering is must
  • Experience with gathering functional requirements, developing specifications, test plans and test executions.
  • Experience with design and development
  • Advanced SQL and database troubleshooting skills
  • Experience working in an Agile/SCRUM development process
  • Experience with business process visualization tools
  • Hands-on experience with Python (or another programming language) is highly desirable
  • Having a CFA charter or progress towards a CFA charter is a plus

Non-Technical Requirements
  • Excellent written, verbal communication and presentation skills.
  • Excellent analytical and problem skills.
  • Demonstrate strong client focus and relationship management skills.
  • Willingness to learn and work as part of a global team
  • Willingness to work independently in an energetic, fast-paced, business-critical and team oriented-environment. Committed to deliver project on time and overcome obstacles.
  • A strong team player, with ability to work in collaboration across teams.
  • Strategic and AI mindset; strong work ethic
  • Intellectual curiosity and interest to learn independently and from peers

Not sure you meet 100% of our qualifications? That's ok. If you believe that you could excel in this role, we encourage you to apply and welcome a chance to review your background. We are dedicated to building and maintaining a diversified workforce and considering a broad array of candidates with a variety of skill, workplace experiences, and backgrounds.
As an equal opportunity employer, Wellington Management ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, sex, sexual orientation, gender identity, gender expression, religion, creed, national origin, age, ancestry, disability (physical or mental), medical condition, citizenship, marital status, pregnancy, veteran or military status, genetic information or any other characteristic protected by applicable law. If you are a candidate with a disability, or are assisting a candidate with a disability, and require an accommodation to apply for one of our jobs, please email us at GMWTalentOperations@wellington.com.
At Wellington Management, our approach to compensation is designed to help us attract, inspire and retain the best talent in our industry. We strive to pay employees fairly and competitively across all levels and roles. Our approach to compensation considers all aspects of total compensation; all employees are eligible to receive salary, variable compensation, and benefits. The base salary range for this position is:
USD 90,000 - 180,000
This range takes into account the wide range of factors that are considered when making compensation decisions, including but not limited to skill sets; role; skills and experience; certifications; and education. This range is an estimate, and further details on salary and total compensation aspects will be shared with candidates during the recruitment process.
Base salary is only one component of Wellington's total compensation approach. Other rewards may include a discretionary Corporate Bonus and/ or Incentives, if eligible. In addition, we offer a comprehensive and high value benefit package to meet the unique needs of our employees and their families, and we are committed to fostering a flexible work environment that enables employees to thrive personally and professionally. Examples of our benefits include retirement plan, health and wellbeing, dental, vision, and pharmacy coverage, health savings account, flexible spending accounts and commuter program, employee assistance program, life and disability insurance, adoption assistance, back-up childcare, tuition/CFA reimbursement and paid time off (leave of absence, paid holidays, volunteer, sick and vacation time)
We believe that in person interactions inspire and energize our community and are essential to our culture. In support of this commitment, our employees work from our offices 4 days a week with flexibility to work remotely 1 day a week. We believe that this approach ultimately supports our mission to deliver investment excellence to our clients and their beneficiaries over the long term.