Senior Marketing Analytics Manager
New
Remote-First (innerhalb Deutschlands), aber Du kannst selbst wählen, ob Du durch Deine Nähe zu einem unserer Standorte (München, Nürnberg, Köln, Hamburg, Berlin) auch hybrid oder ganz vor Ort arbeiten möchtest. Source API remote eligibility restrictions: GermanyFull-TimeSenior
Salary not disclosed
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Job Details
- Required Skills
- SQLBusiness IntelligenceData AnalysisMicrosoft Power BITableau
Requirements
- Experience in working with cross-channel marketing data (Paid Ads, Affiliate, CRM) in subscription-based business models.
- Very good understanding of marketing attribution, performance metrics (ROI, CAC/LTV, Marketing-Mix) and their limits.
- Hands-on experience with tracking setups (GA4, Google Tag Manager, Server-Side Tracking, Consent Mode).
- Very good SQL knowledge for independent data analysis and evaluation.
- Experience with Funnel, Customer Journey and Cohort Analyses.
- Proficient in BI tools and dashboards (e.g. Looker Studio, Tableau or Power BI).
- Experience in the Subscription Business (almost a must-have).
- Industry knowledge in hosting, telecommunications or comparable tech/platform models (nice to have).
Responsibilities
- Build the foundation for sound marketing and growth decisions by visualizing connections, testing hypotheses, and deriving concrete recommendations.
- Bring order to a complex data landscape, combining campaign, customer and product data.
- Ensure decisions are based on reliable facts, rather than gut feeling.
- Analyze and clean up existing tracking and attribution setups, including pixels, consent, and data discrepancies.
- Gain an overview of customer structure (countries, products, usage behavior) and establish initial analyses for specific questions.
- Identify quick wins where optimizations will have an immediate effect.
- Systematically develop marketing analytics by analyzing customer journeys, funnels, performing segmentation and cohort analyses.
- Investigate churn drivers and model LTVs across channels and customer groups.
- Derive clear recommendations for action and act as a sparring partner for marketing, product management, and other stakeholders.
- Establish Customer Intelligence as an integral part of decision-making processes, including automated analyses, alerts, and predictive approaches.
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