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Sr Data Analyst - Mozilla

Fully remoteFull-timeSeniorUTC-8–+1AmericasUK only#SQL#bigquery#data-analysis

The Gecko platform is the core engine of Mozilla's product experience. To maintain competitiveness and user satisfaction, we must move beyond surface-level metrics to understand the deep correlations between engine performance and real-world user behavior. We currently face challenges with data quality, such as bot contamination in nightly telemetry, which obscures our understanding of true performance trends. A dedicated analyst is required to bridge the gap between engineering telemetry and actionable product strategy, ensuring that leadership has high-fidelity data to prioritize performance guardrails and technical budgets.

Engineering Deliverables

  • Automated Dashboards: Create and maintain high-level overview dashboards that translate complex performance data into consumable formats for Product Managers and leadership.
  • Telemetry Gap Analysis: Audit the Gecko codebase to identify missing collection points or "probes" necessary for a complete understanding of the product experience.
  • Data Sanitization Frameworks: Develop methodologies and tools to identify and filter data inconsistencies, specifically focusing on isolating bot traffic and hardware-specific noise from telemetry streams.
  • Behavioral Inference Reports: Deliver deep-dive analyses correlating technical performance shifts (e.g., LCP, eTLD+1) with user-facing pain points and engagement trends.

Scope & Requirements

Scope

The analyst will focus exclusively on Gecko engine telemetry across multiple platforms (Desktop and Android), collaborating with the Performance Team, Data Team, and Product Leadership.

Required Skills

  • Technical: Advanced SQL (BigQuery/Redash), proficiency in data visualization using AI tooling, and experience with statistical analysis (e.g., Pearson’s correlation, multivariate analysis). Knowledge of Rust/C++ is a strong plus. Strong proficiency with AI tools like Claude Code, Codex, or similar is highly desirable.
  • Domain Knowledge: Ability to understand browser component interactions and their impact on user experience.
  • Soft Skills: Proven ability to work independently, translating technical requirements into business insights.
  • Independent Problem Solving: Comfortable working in unfamiliar technical problem spaces and figuring out a path forward with minimal guidance, using documentation, experimentation, source code, data, and other available resources.

Compensation Ranges

  • Canada (Tier 1 Locations): $93,450 — $124,600 CAD
  • Canada (Tier 2 Locations): $84,600 — $112,800 CAD
  • Remote Germany: €62.100 — €82.800 EUR
  • Remote UK: £58,500 — £78,000 GBP

Timezone overlap

UTC-8–+1

Open to

NA · Germany · UK

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