Senior Data Analyst

Job not on LinkedIn

🔥 4 minutes ago

🌐 Canada, Germany, +1 more countries – Remote

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💵 €58.4k - €82.8k / year

⏰ Full Time

🟠 Senior

📉 Data Analyst

👻 Ghost score 0%

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Logo of Mozilla

Mozilla

501 - 1000 employees

Founded 1998

👥 B2C

🔒 Cybersecurity

B2C • Cybersecurity • Software

Mozilla is a non-profit organization dedicated to promoting an open and accessible internet. They are the makers of the popular Firefox browser, which emphasizes user privacy, speed, and control. Mozilla also offers a range of products that focus on internet security and privacy, including Mozilla VPN, Firefox Relay, and Mozilla Monitor. Additionally, the organization is involved in open-source projects, AI innovation, and advocating for digital rights. Mozilla aims to empower users with trustworthy technology and policies that protect privacy, support open-source AI development, and foster accountability for tech companies.

📋 Description

• Create and maintain high-level overview dashboards translating complex performance data into consumable formats for Product Managers and leadership • Audit the Gecko codebase to identify missing telemetry collection points or probes • Develop methodologies and tools to identify and filter data inconsistencies, including bot traffic and hardware-specific noise • Deliver deep-dive analyses correlating technical performance shifts, such as LCP and eTLD+1, with user-facing pain points and engagement trends • Focus on Gecko engine telemetry across Desktop and Android platforms • Collaborate with the Performance Team, Data Team, and Product Leadership

🎯 Requirements

• Advanced SQL (BigQuery/Redash) • Proficiency in data visualization using AI tooling • Experience with statistical analysis, including Pearson’s correlation and multivariate analysis • Knowledge of Rust/C++ is a strong plus • Strong proficiency with AI tools such as Claude Code, Codex, or similar is highly desirable • Ability to understand browser component interactions and their impact on user experience • Proven ability to work independently, translating technical requirements into business insights • Comfortable working in unfamiliar technical problem spaces and finding a path forward with minimal guidance • Ability to use documentation, experimentation, source code, data, and other available resources to solve problems

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