Founded by serial entrepreneurs Rico Andersen and Martin Hegelund, Shine is a leading European fintech unicorn on a mission to restore the joy of running a business, by ending wasted time on financial admin. Shine offers a connected solution for invoicing, accounting, payroll, business accounts, payments, and financing, meaning business owners can focus their energy on growing a healthy business, not held back by manual admin. Today we're part of Cegid, a European leader in cloud software for finance and accounting.

We're a multicultural team working from France, Germany, Denmark and the Netherlands, contributing to a wider European network that spans Spain, Portugal and Belgium. The Data team at Shine Our Data team is organised into three complementary pillars: Data Engineering, Analytics Engineering, and Analytics.

The Revenue

Analytics function sits at the intersection of growth, customer acquisition, lifecycle management and commercial steering, as part of the Data Analytics team. You'll join the Revenue Analytics team, led by Saghar, our Analytics Manager, who heads a team of four data analysts and you'd be the fifth.

Your role as a Senior Data Analyst What's in it for you?

Direct Business Impact: Your work will directly shape how BU Managers and Country GMs steer revenue, churn, and growth decisions across markets, with clear visibility to senior leadership. End-to-End Business Intelligence: From acquisition and activation to churn, retention, and revenue quality, you will own the analytical narrative for your BU scope, spanning marketing performance, product adoption, and commercial health.

Local Market Influence: You will partner closely with BU Managers and local marketing teams to understand country-specific dynamics and translate data into practical commercial decisions.

Strategic Growth Partnership:



You will help shape budget allocation, campaign optimisation, funnel improvements and lifecycle opportunities based on robust analytical evidence.

A Mature Stack: Work with a 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. Work from modern office spaces in prime city locations. Establish, define and maintain the core KPI framework for your BU scope, including revenue metrics, churn rate, activation, retention, payback, LTV and customer-quality metrics.

Steering Dashboards: Design and deliver actionable dashboards for BU Managers and Country GMs, enabling reliable performance steering across Germany and Spain.

Data Modelling & Collection: Build robust, scalable data models using SQL and dbt to support recurring and ad‐hoc marketing analytics needs.

Project & Stakeholder Management: Lead analytical projects end-to-end, managing timelines, priorities and senior stakeholder expectations across local BUs, Marketing and Data.

Funnel & Conversion Analysis: Own the analytical view of the customer journey from first touch to activation, paying customer and retained user, identifying bottlenecks and improvement opportunities. Analyse onboarding, activation, retention and lifecycle campaigns, helping local teams improve customer engagement and long‐term revenue quality.





Performance Marketing Analytics: Analyse paid and organic acquisition performance across channels, campaigns, audiences and markets, helping teams understand where growth is efficient and where optimisation is needed.

Experimentation & Incrementality: Support the design, measurement and interpretation of marketing experiments, including A/B tests, landing‐page tests, lifecycle tests and channel tests. Job located in Berlin or Madrid, with possibility of two remote working days per week Experience: 5+ years in Data Analytics, Marketing Analytics, Growth Analytics or Revenue Analytics, ideally in a SaaS, fintech, subscription, marketplace or digital product environment.

Technical Excellence: Expert‐level SQL and solid experience with dbt (modelling, testing, and documentation). Strong understanding of revenue metrics (MRR, churn, LTV, CAC, payback), customer lifecycle and funnel analytics and commercial KPI frameworks.

Analytical Breadth: Comfortable working across forecasting, LTV modelling, funnel analysis, and operational KPI frameworks. Ability to turn complex, ambiguous problems into clear, actionable recommendations for senior non‐technical stakeholders.

Language: Fluent in English. German is strongly preferred for the German market scope; Spanish would be beneficial for the Spain market scope.

Experience with tools such as Amplitude, Mixpanel, Salesforce, HubSpot, Braze, Hightouch, Census, Google Ads, Meta Ads, LinkedIn Ads or similar.

Technical

Call (60'): Discussion with Saghar (Analytics Manager) + a technical SQL assessment. Logical & Personality Assessment (30–45'): Followed by meeting a few team members + Discussion with the VP of Data & Analytics regarding collaboration and strategic vision.

📌 Senior Data Analyst Product & Technology · Berlin, Madrid, Paris
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📍 Madrid