Senior Data Analyst at Shine

Apply for Senior Data Analyst at Shine

Berlin, BE, DE.

Full‑time on‑site position offers great opportunities for career growth.

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 – we are part of Cegid, a European leader in cloud software for finance and accounting.

Together we are 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 are 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 would love to hear from you.

The Data team at Shine

The 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 will join the Revenue Analytics team, led by Saghar, our Analytics Manager, who heads a team of four data analysts and you would be the fifth.

This structure means you will spend less time fixing broken pipelines and more time uncovering high‑value insights. Your role as a Senior Data Analyst will:

Responsibilities

• 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.

About you

• 5+ years in Data Analytics, Marketing Analytics, Growth Analytics or Revenue Analytics, ideally in a Saa S, fintech, subscription, marketplace or digital product environment.
• 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.
• Nice to have: experience with tools such as Amplitude, Mixpanel, Salesforce, Hub Spot, Braze, Hightouch, Census, Google Ads, Meta Ads, Eurostaffs Ads or similar.

Job located in Berlin or Madrid, with the possibility of two remote working days per week.

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.

• Recruitment Process
• Screening Call: initial screening call with a TA partner.
• Technical Call (60 minutes): discussion with Saghar (Analytics Manager) + a technical SQL assessment.
• Case Study Presentation (60 minutes): evaluation of your methodology, problem‑structuring and impact mindset.
• Logical & Personality Assessment (30–45 minutes): followed by meeting a few team members and discussion with the VP of Data & Analytics regarding collaboration and strategic vision.
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