Product Data Analyst

Accountabilities

• Act as the dedicated analytics partner to product managers, supporting deep analysis of product usage, user behavior, and feature performance.


• Conduct advanced product analyses across activation, onboarding, adoption, retention, and expansion to identify key behavioral drivers.


• Deliver cross-product and segment-level insights that provide a broader perspective beyond individual product squads.


• Co-develop hypotheses with product managers and design analytical approaches to validate product decisions.


• Influence product roadmap decisions by providing clear, data-backed recommendations on what to build, improve, or deprioritize.


• Design, evaluate, and interpret A/B tests and experiments, ensuring statistical rigor and actionable outcomes.


• Partner with engineering and product teams on event instrumentation, tracking design, and data quality improvements.


• Identify opportunities for deeper analysis proactively, surfacing insights and recommendations even without formal requests.


• Translate complex data findings into clear, structured narratives that support decision-making at all levels.


• Contribute to improving analytical standards, methodologies, and experimentation practices across the product organization.

Requirements

• 5+ years of experience in product analytics, data analysis, or related roles within B2B SaaS environments, ideally in product-led growth companies.


• Strong experience analyzing user behavior, product funnels, activation metrics, retention drivers, and feature adoption.


• Deep expertise in SQL and strong familiarity with modern data stacks (e.g., BigQuery, dbt, Metabase or equivalent tools).


• Strong understanding of statistical methods, including hypothesis testing, bias detection, and experimental design.


• Proven experience designing, running, and interpreting A/B tests and product experiments.


• Experience defining event tracking schemas and collaborating with engineering teams on instrumentation.


• Strong ability to independently identify high-impact analytical opportunities and drive them to completion.


• Excellent communication skills with the ability to turn complex analysis into clear, decision-ready insights.


• Strong product intuition and ability to influence roadmap decisions with data-backed arguments.


• Experience with behavioral segmentation, cohort analysis, and advanced retention modeling.


• Python experience for data analysis is a plus (e.g., pandas, scipy, statsmodels).


• Familiarity with causal inference methods or experimentation platforms (e.g., GrowthBook, Statsig, Eppo) is an advantage.


• Experience working with technical or developer-focused products is a strong plus.

Benefits

• Competitive compensation package aligned with market standards.


• Equity participation, giving you ownership in the company’s success.


• Fully remote-first environment with flexibility across Europe.


• Generous vacation allowance depending on location (up to 30 days in Europe).


• Annual learning and development budget for courses, books, events, or coaching.


• Unlimited AI tooling budget to support productivity and innovation.


• Strong culture of transparency, autonomy, and high ownership.


• Regular hackathons and collaborative innovation initiatives.


• Opportunity to work closely with highly technical product teams in a data-driven environment.


• Exposure to one of Europe’s fastest-growing open-source and automation platforms.


• Remote-friendly culture with regular team offsites and global collaboration opportunities.

This listing is from ats_lever. View original listing ↗