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Mozilla is a nonprofit software and internet organization working to keep the web open, accessible, and user-focused. Best known for Firefox, Mozilla develops products such as Mozilla VPN, Firefox Relay, and Mozilla Monitor, with an emphasis on privacy, security, speed, and user control. Its work also spans open-source software, AI innovation, and digital-rights advocacy, including efforts to encourage trustworthy technology, responsible AI development, and greater accountability across the technology industry.
Senior Data Analyst, Firefox Performance Telemetry — Mozilla (Remote, Canada)
Analyze Firefox Gecko telemetry to guide Mozilla’s browser performance strategy. Build dashboards, improve telemetry quality, and connect engine performance with user behavior.
Canada
Germany
United Kingdom€58,400 – €82,800 / year
RemoteFull-timeSeniorEnglish RequiredData AnalystDescription
- Build and maintain overview dashboards that make complex performance data useful to product managers and leaders.
- Review the Gecko codebase to find gaps in telemetry collection and probe coverage.
- Create methods and tools to detect and filter inconsistent data, including bot traffic and hardware-related noise.
- Analyze how technical performance changes, such as LCP and eTLD+1, relate to user pain points and engagement trends.
- Analyze Gecko engine telemetry across desktop and Android.
- Work with the Performance Team, Data Team, and product leadership.
Requirements
- Advanced SQL skills, including BigQuery or Redash.
- Experience with data visualization using AI tools.
- Statistical analysis experience, including Pearson correlation and multivariate analysis.
- Knowledge of Rust or C++ is a strong advantage.
- Strong ability with AI tools such as Claude Code, Codex, or similar is highly desirable.
- Ability to understand how browser components interact and affect user experience.
- Ability to work independently and turn technical requirements into business insights.
- Comfort working in unfamiliar technical areas and finding a way forward with minimal guidance.
- Ability to solve problems using documentation, experimentation, source code, data, and other available resources.
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