Note: The job is a remote job and is open to candidates in USA. GitHub is the world’s leading platform for agentic software development, and they are seeking 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 will turn telemetry, account signals, and usage data into clear insights that inform detection, policy, and enforcement decisions.
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
Skills
- 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
- 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
Benefits
- Annual bonus and stock
- Opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee's role
- Generous learning and growth opportunities
- Excellent benefits to support you, wherever you are
- Remote-first
Company Overview
Company H1B Sponsorship