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Contract Sr Data Analyst (SQL,Telemetry,Browser Engine)

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Remote from
UK, Canada, Germany
Salary
CAD 93,450–124,600 / yr
Employment
Contract
Experience
Open level
Published
Apply before
20 Nov 2026
Listing views
25
Application actions
1
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AI Summary

The role, at a glance.

Mozilla is seeking a senior contract data analyst to improve the reliability and business usefulness of Gecko browser-engine telemetry. The role builds leadership-facing dashboards, audits telemetry collection gaps, and develops methods to remove bot and hardware-related noise from performance data. The analyst will connect technical measures such as LCP and eTLD+1 with user experience and engagement outcomes across desktop and Android. Success requires advanced SQL, statistical analysis, visualization, browser-platform fluency, and the ability to work independently with engineering, data, product, and leadership stakeholders.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

4/5
IndependentCollaborative
AI insightThis is a senior, technically demanding analytics role requiring trustworthy inference from noisy telemetry and enough browser-engine understanding to identify missing instrumentation. The analyst must independently turn complex technical findings into decisions for product and leadership audiences.

Salary analysis

Estimated compensation compared with the broader CA market for similar roles.

Estimated job median (per year)Market rate
C$109,025
CA market range (per year)C$90k–C$130k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The Canada Tier 1 employer range is CAD 93,450–124,600 per year, with a midpoint of CAD 109,025. The annual cadence is inferred from the range magnitude and senior professional scope because the posting does not explicitly state a pay period. A reasonable estimated Canadian annual market range for a senior telemetry/data analyst is CAD 90,000–130,000; this is an AI estimate, not verified salary research.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you distinguish bot traffic from genuine user activity in browser telemetry?

I would start by profiling anomalous event patterns, request cadence, user-agent and device signals where available, session duration, and feature-use distributions. I would develop transparent filtering rules, validate their impact against known-good cohorts, and monitor exclusion rates so the framework does not remove legitimate users.

Describe how you would investigate a decline in LCP after a Gecko change.

I would first validate the telemetry pipeline and compare pre- and post-release distributions by platform, version, hardware class, geography, and key page or workload cohorts. I would then correlate the change with release metadata and user engagement signals, quantify uncertainty, and present likely drivers along with recommended follow-up instrumentation or experiments.

How do you make a dashboard useful for both engineers and product leadership?

I use a layered design: a concise executive overview with trends, guardrails, and clear interpretations, followed by drill-down views for technical segmentation and diagnostics. I align metrics and thresholds with concrete decisions, document definitions, and make data quality limitations visible.

What approach would you take to finding missing telemetry probes in a large codebase?

I would map the user journey and performance hypotheses to existing event schemas and code paths, then compare the signals needed for each decision against what is currently collected. I would review source code and documentation with engineering partners, propose minimally invasive probes, and define validation criteria before rollout.

Tell us about working independently in an unfamiliar technical domain.

I establish a structured learning plan using documentation, source code, exploratory queries, and conversations with subject-matter experts. I turn ambiguity into testable questions, share early findings and assumptions, and iteratively refine the analysis while maintaining clear documentation of decisions and limitations.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
Opportunity details

About this role.

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:

Canada Tier 1 Locations

$93,450—$124,600 CAD

Canada Tier 2 Locations

$84,600—$112,800 CAD

Hiring Ranges:

Remote Germany

€62.100—€82.800 EUR

Hiring Ranges:

Remote UK

£58,500—£78,000 GBP

Apply now >

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