Senior Data Analyst

Shine; Berlin; Hybrid; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

Shine's Data team seeks a Senior Data Analyst to own insights across Revenue, Marketing and Product. You will define KPIs, build dashboards and model data with SQL and dbt to steer BU managers and country GMs.

You'll partner with Marketing, Product and Finance across Europe, focusing on revenue growth, churn reduction and activation. This role offers a hybrid work policy with offices in Berlin or Madrid and potential remote days.

Qualifikationen

• 5+ years in Data Analytics, Marketing Analytics or Revenue Analytics.
• Expert-level SQL and solid dbt experience.
• Strong understanding of revenue metrics (MRR, churn, LTV, CAC).
• Fluent in English; German preferred for the German market.

Aufgaben

• Define and governance KPI framework for BU scope.
• Design dashboards for BU Managers and Country GMs in Germany and Spain.
• Build robust data models using SQL and dbt to support marketing analytics needs.
• Lead analytical projects end-to-end, managing timelines, priorities and stakeholders.
• Own the analytical view of the customer journey from first touch to activation and retention.
• Analyse paid and organic acquisition performance across channels and markets.
• Support the design and interpretation of marketing experiments (A/B tests).
• Bridge insights across Revenue, Product, Marketing, Finance and Customer Success.

Kenntnisse

SQL

dbt

English

Data Analytics

Communication

Stakeholder Management

Tools

Amplitude

Mixpanel

Salesforce

HubSpot

Braze

Hightouch

Census

Google Ads

Meta Ads

LinkedIn Ads

Jobbeschreibung

Shine is the financial copilot for entrepreneurs and small business owners.

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.

Part of something bigger

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.

Your Hiring Experience Matters

Just as we respect our customers' time, we respect yours. Your experience with Shine and Cegid should feel simple, transparent and genuinely supportive.

If this sounds like somewhere you want to grow, we'd love to hear from you.

The Data team at Shine

Our Data team is organised into three complementary pillars: Data Engineering, Analytics Engineering, and Analytics. The Analytics pillar is split into two teams: Product Analytics, working closely with our Product teams, and Revenue Analytics, 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

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.
• Modern, centrally located offices: Work from modern office spaces in prime city locations.
• An international environment: Join a diverse team with colleagues from across Europe.
• Mobility across locations: Opportunity to work from our offices in Madrid, Copenhagen, Paris, Amsterdam or Berlin.

Your Responsibilities Will Include

• Business KPI Definition & Governance: 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.
• Customer Lifecycle Analytics: 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.
• Cross-functional Connectivity: 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.

About You

• 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).
• Business & Revenue Analytics Expertise: 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.
• Analytical Breadth: Comfortable working across forecasting, LTV modelling, funnel analysis, and operational KPI frameworks.
• Communication: 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.
• Nice to have: Experience with tools such as Amplitude, Mixpanel, Salesforce, HubSpot, Braze, Hightouch, Census, Google Ads, Meta Ads, LinkedIn Ads or similar.

Equal Opportunity Employer

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.

Our recruitment process

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