Senior Data Analyst – Browser Telemetry & SQL – UK in Columbus
Career & Market Insight
This is a specialist individual contributor role sitting at the intersection of data engineering, performance analytics, and product strategy — a niche but high-value position in browser/platform companies.
Compensation benchmark: At £58,500–£78,000 GBP, this aligns with mid-to-senior data analyst ranges in the UK tech market (Glassdoor/Levels.fyi benchmarks for senior data analysts in the UK typically range £55k–£85k). It's competitive but not exceptional for candidates with deep BigQuery + statistical analysis expertise.
Skills developed in this role:
- Browser telemetry and performance engineering (rare, highly transferable to other browser/platform companies)
- Advanced SQL on BigQuery at scale — extremely in demand across big tech
- Statistical modeling (Pearson's correlation, multivariate analysis) applicable in any data science track
- AI-assisted data tooling (Claude Code, Codex) — forward-looking skill set
- Rust/C++ familiarity is a bonus that opens doors in systems-level data roles
Culture signals: The emphasis on independent problem-solving, working in unfamiliar technical spaces, and producing leadership-facing deliverables suggests a lean team with high ownership expectations — more startup-adjacent than enterprise. This suits self-starters but may not suit those who prefer heavy mentorship.
Green flags: High autonomy, clear deliverables, cross-functional visibility, and work on a well-known open-source engine (Gecko/Firefox). Potential red flag: The role scope is narrow (Gecko-only), which could limit variety over time.
The Gecko platform is the core engine of our 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, Skills, and Effort Estimate
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.
Hiring Ranges:
Remote UK
£58,500—£78,000 GBP
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