Product Data Analyst in Switzerland at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Product Data Analyst based in Switzerland.

This is a high-impact product analytics role embedded directly within a product team that is already highly data-literate and technically strong. You will act as the dedicated analytics partner to product managers, helping them go deeper into user behavior, activation, and adoption patterns that drive product success. The role combines rigorous analytical depth with strong product thinking, enabling you to influence roadmap decisions, improve user experience, and uncover insights that go beyond standard reporting. Working in a fast-paced, collaborative environment, you will contribute to both strategic direction and hands-on experimentation while shaping how users derive value from a leading workflow automation platform. This is an opportunity to join a highly technical, product-led organization where your insights will directly impact product growth and user engagement.

• 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.

• 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.

• 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.