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.

Your role as a Senior Marketing Analyst

What’s in it for you?

• Direct Business Impact: Your work will directly influence how we grow our invoicing and accounting products in Germany and Spain, with clear visibility to local BU Managers and senior leadership.

• End-to-End Marketing Intelligence: From acquisition to activation, retention and revenue quality, you will own the analytical narrative on marketing performance across both markets.

• Local Market Influence: You will partner closely with BU Managers and 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 Copenhagen, Paris, Amsterdam or Berlin.

Your responsibilities will include:

• Marketing KPI Definition & Governance: Establish, define and maintain the core marketing KPI framework for the Germany and Spain Invoicing and Accounting business units, including CAC, ROAS, conversion rate, funnel performance, payback, LTV and customer-quality metrics.

• Steering Dashboards: Design and deliver actionable dashboards for BU Managers and Marketing leadership, 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.

• Budget & Channel Steering: Provide clear, data-backed recommendations to local BU Managers and Marketing stakeholders on budget allocation, channel mix, campaign performance and growth trade-offs.

• CRM & 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 Marketing insights with Product, Sales, Finance and Customer Success analytics, 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, mDaarketplace or digital product environment.

• Technical Excellence: Expert-level SQL and solid experience with dbt (modelling, testing, and documentation).

• Marketing Domain Expertise: Strong understanding of performance marketing, funnel analytics, CRM/lifecycle analytics, attribution challenges and core marketing KPIs such as CAC, ROAS, conversion rate, payback, LTV and retention.

• 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 is a strong plus for the Spain market scope.

• Nice to have: Experience with tools such as Google Analytics, 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

1️⃣ Screening Call: 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.