Senior Data Analyst

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. Together we're building Europe's leading financial copilot for small businesses and their accountants. Shine already supports more than 400,000 small businesses. As part of Cegid, we now reach over one million small businesses and 15,000 accountants across Europe. 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.

, working closely with our Product teams, and

, partnering directly with the Business Unit leads in the Revenue org. 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. This structure means you'll spend less time fixing broken pipelines and more time uncovering high-value insights

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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. •

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. •

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

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

Work with a modern data stack including Snowflake, dbt, Python and Omni, supported by a dedicated Analytics Engineering team. •

Enjoy a balanced mix of remote work and office collaboration. •

Work from modern office spaces in prime city locations. •

Join a diverse team with colleagues from across Europe. •

Opportunity to work from our offices in Madrid, Copenhagen, Paris, Amsterdam or Berlin.

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. •

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

Build robust, scalable data models using SQL and dbt to support recurring and ad-hoc marketing analytics needs. •

Lead analytical projects end-to-end, managing timelines, priorities and senior stakeholder expectations across local BUs, Marketing and Data. •

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. •

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

Support the design, measurement and interpretation of marketing experiments, including A/B tests, landing-page tests, lifecycle tests and channel tests. •

Bridge insights across Revenue, Product, Marketing, Finance and Customer Success, ensuring a unified view of customer acquisition, value creation and retention. 📍 Job located in Berlin or Madrid, with possibility of two remote working days per week

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. Marketing analytics experience is a strong plus. •

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. •

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.

We follow the principle of equal treatment to consider all job applicants and do not discriminate based on their gender, sexual orientation, color, racial or ethnic origin, religion, disability, etc. as per applicable law.

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Initial screening call with a TA-partner 2️⃣ Technical Call (60’): Discussion with Saghar (Analytics Manager) + a technical SQL assessment. 3️⃣ Case Study Presentation (60’): Evaluation of your methodology, problem-structuring, and impact mindset. 4️⃣ Logical & Personality Assessment (30–45’): Followed by meeting a few team members + Discussion with the VP of Data & Analytics regarding collaboration and strategic vision.