Sr Data Analyst

Free resume; Deutschland; Remote; EUR 65,000 - 105,000; Full time

Job summary

Free resume is seeking an analytics-focused engineer to bridge telemetry data and product strategy for Gecko across Desktop and Android. You will build dashboards and identify gaps in data collection to enable leadership to prioritize performance guardrails and budgets.

Responsibilities include automating high-level dashboards, auditing the codebase for missing probes, developing data sanitization methods to remove bot noise, and delivering analyses that link performance shifts to user

Qualifications

• Proven expertise in SQL and data visualization.
• Experience with statistical methods and correlation analysis.
• Knowledge of Rust or C++ is a strong plus.
• Experience with AI tools preferred.

Responsibilities

• 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 with user-facing pain points and engagement trends.

Skills

Advanced SQL

Data visualization

Statistical analysis

Rust/C++ knowledge

AI tools experience

Tools

BigQuery

Redash

Rust

C++

Claude Code / Codex

Job description

Direct company application on www.arbeitnow.com . Zero third-party aggregator forms.

Job Description

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.
• 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.