Senior Data Analyst

Shine is a fintech that empowers entrepreneurs and small businesses with integrated invoicing, accounting, payroll, payments, and financing solutions.Senior Data Analyst - Revenue AnalyticsWhat'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.Job located in Berlin or Madrid, with the possibility of two remote working days per week.Your Responsibilities Will IncludeBusiness 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 YouExperience: 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 EmployerWe 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.#J-*****-Ljbffr

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.