Senior Product Data Analyst

Das ist der Job

This structure ensures you spend less time fixing broken pipelines and more time uncovering high-value growth levers.

Darum lohnt es sich

Data at Shine Our Data team is organised into three complementary pillars: Data Engineering, Analytics Engineering, and Product/Revenue Analytics. The Product Analytics team partners closely with Product to drive discovery, experimentation, and measurable impact.

A Mature Stack: Work with a best-in-class modern data stack including Snowflake, dbt, Python, and Omni , supported by a dedicated Analytics Engineering team.

A hybrid work policy : Enjoy a balanced mix of remote work and office collaboration Modern, centrally located offices : Work from modern office spaces in prime city locations An international environment : Join a diverse team with colleagues from across the globe Mobility across locations : Opportunity to work from our offices in Copenhagen, Paris, Amsterdam, or Berlin Your Responsibilities Strategic Partnership: Partner directly with Banking Product Managers to define North Star KPIs and influence the long-term roadmap.

Language: Fluent in English; excited to work in a diverse, international setting. #J-18808-Ljbffr We are now looking for a Senior Product Data Analyst to lead the strategy for our Banking domain—the technical and financial heart of Shine’s value proposition. What's in it for you?

Strategic Discovery: You will lead "Phase 0" of the product lifecycle, sizing opportunities for new banking features and identifying friction points in the user journey before a single line of code is written.

End-to-End Experimentation: From power-calculating sample sizes to interpreting complex A/B test results, you own the validation of our product hypotheses.

High-Stakes Influence: You will translate “Data-speak” into “Business-speak,” presenting findings directly to Product Leads and the Head of Product Analytics to help the company pivot or persevere on key initiatives.

Deep-Dive Analysis: Lead sophisticated analyses on user activation, transaction velocity, retention, and feature adoption within the banking ecosystem. Data Governance: Own and continuously improve analytical datasets and core Banking KPIs, ensuring reliability, scalability, and clear documentation.

Enablement: Build actionable, self-service dashboards and mentor junior analysts to foster a high-performance data culture. Best Practices: Contribute to evolving our internal analytics standards, from SQL styling to peer-review processes. Job located in Berlin or Paris with the possibility of two remote working days per week.

About You Experience: 5+ years in Data Analytics, with a proven track record in a fast-paced, product-driven environment. Technical Excellence: Expert-level SQL and solid experience with DBT (modeling, testing, and documentation).

Product Mindset: You think in terms of user value and business outcomes, not just "queries completed." Domain Expertise: Prior experience in Banking, FinTech, or regulated environments is highly valued. Communication: Ability to turn complex, ambiguous problems into clear, actionable recommendations for non-technical stakeholders.