Senior Product Analyst

October 1, 2026

Office

Senior

Berlin, Germany

May rule you out

Office-only work

Worth knowing

English is required

Description

The Senior Product Analyst owns the Engagement domain within the Central Product Analytics team — merchant engagement, product activation, support responses and navigation across the SuperApp and web dashboard. The role builds measurement foundations from the ground up: event taxonomies, GA4 tracking, scalable Snowflake datasets, A/B testing and Tableau dashboards, shifting the team from reactive reporting to proactive, insight-led decision-making. This is an office-first position based in Berlin at a global fintech company serving millions of merchants.

Responsibilities

Define event taxonomies and measurement plans, implement and QA tracking (GA4), and make sure analytics is built into new product features from day one
Build and maintain scalable datasets in Snowflake — including funnels, customer behaviour models, and feature adoption metrics — and use them to generate insights that directly inform product decisions
Design and evaluate A/B tests: define success metrics, assess statistical validity, and communicate results clearly to product and engineering stakeholders
Create and maintain intuitive dashboards and reusable query templates in Tableau that help teams answer their own questions without always needing an analyst
Partner with product managers to develop and map out KPI trees, identify measurement gaps, and improve the quality and accuracy of engagement tracking across the domain

Requirements

Proven experience as a Data or Product Analyst, with a strong track record of working with customer behaviour data and translating it into product decisions
Advanced proficiency in SQL, including writing, optimising, and validating queries, building data models, and participating in code reviews
Strong knowledge of data visualisation tools such as Tableau or Power BI, and experience with data warehousing platforms like Snowflake, Postgres, or Redshift
Comfortable designing and analysing end-to-end experiments, including A/B tests and feature flag rollouts, with a solid understanding of statistical validity
Ability to communicate complex data findings clearly to both technical and non-technical stakeholders, with strong written and verbal English skills

Conditions

Office-first setup from the Berlin office, working on large-scale fintech products used by millions of businesses worldwide
Virtual Stock Option programme: you will own a stake in the company's future success
Dedicated annual L&D budget of €2000 for individual development, conferences and further education
Corporate pension scheme where the company matches up to 20% of your contributions
Generous time off: 28 days of paid leave plus public holidays and special leave days
Benefits such as Urban Sports Club subsidy, Kita placement assistance and subsidised office lunches
Break4me: 1-month sabbatical after 3 years of service
Referral Bonus: earn additional rewards by referring talented individuals

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