Data Analyst

Data Analyst

Full-Time 60000 - 80000 £ / year (est.) Working from home possible
GitHub, Inc.

At a Glance

  • Tasks: Analyse data to detect and investigate abuse on GitHub Copilot.
  • Company: Join GitHub, the leading platform for AI-powered software development.
  • Benefits: Remote work, competitive pay, and generous learning opportunities.
  • Other info: Collaborative environment with diverse teams and excellent career growth.
  • Why this job: Make a real impact by ensuring safe and secure software development.
  • Qualifications: Experience in data analysis and familiarity with SQL or Python required.

The predicted salary is between 60000 - 80000 £ per year.

About GitHub GitHub is the world’s leading platform for agentic software development — powered by Copilot to build, scale, and deliver secure software. Over 180 million developers, including more than 90% of the Fortune 100 companies, use GitHub to collaborate, and more than 77,000 organisations have adopted GitHub Copilot.

In this role you can work from Remote, United Kingdom.

Overview GitHub Copilot is changing how the world builds software—and protecting that experience from abuse is critical to our users, our customers, and the integrity of the platform. We’re looking for a data analyst to focus on identifying, investigating, and reporting on abuse, misuse, and policy violations of GitHub Copilot and other AI-powered developer products. In this role, you’ll turn Copilot telemetry, account signals, and usage data into clear insights that inform detection, policy, and enforcement decisions. You’ll partner closely with Trust & Safety, Product, Engineering, Security, and Legal (CELA) to surface emerging abuse trends and help shape how we respond to them.

Responsibilities:

  • Detect and investigate Copilot abuse.
  • Analyze telemetry, usage logs, billing/entitlement data, and account signals to identify abuse patterns such as automated or scripted usage, account and credential sharing, token misuse, evasion of usage limits, prompt injection, content-policy violations, and fraudulent or coordinated activity.
  • Build the analyses and tooling that power Trust & Safety decisions.
  • Develop dashboards, reports, and prototype models (e.g., abuse-risk scoring, anomaly detection, investigation views) that help stakeholders distinguish legitimate Copilot usage from abuse and measure the impact of mitigations.
  • Tell the story behind the data.
  • Synthesize complex analyses into clear, actionable insights—through dashboards, written reports, and stakeholder presentations—that influence detection rules, policy updates, and enforcement actions.
  • Improve data quality and coverage.
  • Identify gaps in abuse-relevant data sources, recommend new pipelines or integrations, and partner with Engineering and Data Science to strengthen the signals available for Copilot abuse detection.
  • Anticipate analytical tradeoffs.
  • Evaluate methods and assumptions critically, surface risks like false positives/negatives and unintended impact on legitimate users, and recommend mitigations.
  • Operationalize what works.
  • Turn one-off investigations into reusable, self-service reporting where it makes sense, and help scale recurring abuse-monitoring capabilities.
  • Collaborate across the company.
  • Work with Trust & Safety, Copilot Product, Anti-Abuse Engineering, Security, Data Science, and CELA to align on data definitions, abuse taxonomies, and shared standards.
  • Handle sensitive data responsibly.
  • Apply data privacy, governance, and ethical handling practices to Copilot prompt, completion, and user-activity data, and ensure work goes through appropriate CELA review.
  • Mentor and influence.
  • Share domain expertise with peers, coach less experienced analysts, and present findings to senior Copilot, Trust & Safety, and Security leadership.

Qualifications:

Required Qualifications:

  • 5+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 3+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis or equivalent experience.

Preferred Qualifications:

  • 7+ years of relevant experience, or a Bachelor's/Master's degree in a related field with 5+/3+ years of experience respectively.
  • 1+ year of experience with SQL, Python, Power BI, or comparable data analytics tools.
  • 2+ years of consulting experience.
  • Experience analyzing abuse, fraud, or Trust & Safety signals on a large-scale online platform—ideally involving AI/ML products such as GitHub Copilot or similar AI developer tools.
  • Familiarity with common abuse patterns on developer platforms (automated/scripted usage, account and credential sharing, evasion of usage limits, prompt injection, content-policy violations).
  • Experience partnering with Trust & Safety, Anti‑Abuse, Security, and Legal teams on sensitive investigations.

Skills You’ll Use:

  • Analytics & Storytelling: Data analysis, data modeling, data visualization, data storytelling, statistics, quality reviews.
  • Trust & Safety: Abuse and anomaly detection, behavioral analytics and pattern recognition, investigative analysis, Trust & Safety analytics.
  • Technical: SQL, Python, big data, database querying, automation, data integration, data cleaning.
  • Collaboration & Influence: Technical communication, consulting, influencing without authority, cross-functional partnership.
  • Judgment: Decision-making, problem solving, operational excellence, compliance and data governance.

GitHub values:

  • Customer-obsessed
  • Ship to learn
  • Growth mindset
  • Own the outcome
  • Better together
  • Diverse and inclusive

Manager fundamentals:

  • Model
  • Coach
  • Care

Leadership principles:

  • Create clarity
  • Generate energy
  • Deliver success

Who We Are:

GitHub is the world’s leading AI-powered developer platform with 150 million developers and counting. We’re also home to the biggest open-source community on earth (and 99% of the world’s software has open-source code in its DNA). Many of the apps and programs you use every day are built on GitHub. Our teams are dreamers, doers, and pioneers, leading the way in AI, driving humanitarian efforts around the globe, and even sending open source to Mars (and beyond!). At GitHub, our goal is to create the space you need to do your best work. We’re remote‑first and offer competitive pay, generous learning and growth opportunities, and excellent benefits to support you, wherever you are—because we know that people flourish when they can work on their own terms. Join us, and let’s change the world, together.

Equal Employment Opportunity:

GitHub is made up of people from a wide variety of backgrounds and lifestyles. We embrace diversity and invite applications from people of all walks of life. We don’t discriminate against employees or applicants based on gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or any other differences. Also, if you have a disability, please let us know if there’s any way we can make the interview process better for you; we’re happy to accommodate!

Data Analyst employer: GitHub, Inc.

GitHub is an exceptional employer that champions a remote-first work culture, allowing employees to thrive on their own terms while contributing to groundbreaking AI-powered software development. With competitive pay, generous learning opportunities, and a commitment to diversity and inclusion, GitHub fosters an environment where every team member can grow and make a meaningful impact in the tech industry. Join us to be part of a collaborative team that values innovation and empowers you to shape the future of software development.

GitHub, Inc.

Contact Details:

GitHub, Inc. Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Analyst

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We think you need these skills to ace Data Analyst

Data Analysis
SQL
Python
Power BI
Data Visualization
Data Storytelling
Abuse Detection

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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How to prepare for a job interview at GitHub, Inc.

Brush Up on Your Statistics

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Get Comfortable with Python and R

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