Senior Product Analyst

This is a fully remote position, open to applicants in Switzerland.

📋 Description

• Develop and sustain dashboards and reporting throughout the entire customer journey, including acquisition, activation, conversion, engagement, retention, transactions, and drop-off points.

• Establish KPI definitions, calculation methods, ownership, and reporting frequency.

• Collaborate with Technology to ensure robust underlying tracking.

• Monitor product, marketing, and funnel KPIs, identifying unusual trends, risks, and performance gaps promptly.

• Differentiate between short-term fluctuations and structural issues.

• Conduct regular performance reviews with Product, Marketing, Technology, and leadership teams.

• Link product and marketing KPIs to business objectives such as GMV, active users, conversion rates, and retention.

• Assist leadership in prioritizing focus areas.

• Define success metrics, baselines, and evaluation periods prior to launches.

• Track adoption, usage, and business impact post-launch.

• Provide evidence-based evaluations of initiative outcomes.

• Translate analysis into actionable, prioritized recommendations.

• Support teams in designing experiments and determining measurement strategies for impact.

• Report to the Head of Product and collaborate with Product Management, Marketing, Technology, Operations, and leadership.

⛳️ Requirements

• Several years of experience in product analytics, growth analytics, or business intelligence.

• Ideally, experience in a digital product, marketplace, fintech, or platform business.

• Proven track record in building dashboards, defining KPIs, and assessing feature and campaign impacts.

• Strong expertise in funnel, cohort, retention, and segmentation analysis.

• Hands-on experience with BI tools such as Looker, Power BI, Tableau, or Metabase.

• Familiarity with product analytics platforms like Amplitude, Mixpanel, or Google Analytics.

• Proficient SQL skills for independent data extraction and analysis.

• Ability to convert data into clear business recommendations.

• Understanding of GMV, activation, conversion, retention, and LTV.

• Confidence to challenge assumptions based on data.

• Excellent English communication skills with the ability to convey complex analyses to non-technical stakeholders.

• Proactive, structured, and capable of working independently.

• Comfort with operating amid incomplete data and shifting priorities.

• Nice to have: experience with A/B testing and statistical evaluation.

• Nice to have: experience with Snowflake, Redshift, or BigQuery.

• Nice to have: familiarity with AI tools such as Claude or ChatGPT.

🏝️ Benefits

• High visibility with leadership, with analysis and recommendations directly influencing real business decisions.

• Cross-functional exposure from day one.

• Genuine ownership over performance reporting and analytics.

• Flexibility to work remotely.

• A closely-knit, Switzerland-based core team.