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(Senior) CRM Manager – Analytics & Automation (all genders)
Sunday NaturalBerlin6 days ago
Full-timeVia ArbeitnowMarketing
Apply now About this role
Your role We are elevating our CRM setup from standard campaign execution to an autonomous, signal-driven CRM 3.0 framework. As our (Senior) CRM Manager (all genders), you will not just "run newsletters" - you will be the proactive driver of customer retention, lifetime value (LTV), and revenue in our core market. You will own the full DACH customer journey end-to-end: from hands-on omnichannel campaign operations (Email, Direct Mail, Push) to deep-dive cohort analytics, predictive segmentation, and leveraging AI/LLM tools to continuously automate manual workflows. You are a proactive, high-ownership generalist with a "get-it-done" mindset. You don't wait for inputs or instructions; you analyze customer signals, identify revenue leaks, hypothesize solutions, and test & iterate independently. Key Responsibilities Strategic Campaign Ownership & Execution Omnichannel Operations: Plan, build, and deploy high-converting campaign journeys across Email, Direct Mail, Parcel Inserts, and WhatsApp within our enterprise CDP (Bloomreach). Automated Journey Building: Maintain and optimize our >50 active lifecycle trigger lanes (from first-time buyer activation to win-back and churn prevention). DACH Localization & Nuance: Adapt central strategies specifically for German-speaking consumer habits, local buying triggers, payment behaviors, and regulatory standards (GDPR). Proactive Analytics & "Next Best Action" Iteration Deep-Dive Data Analysis: Don't just read dashboards - create them. Analyze cohort curves, Time Between Orders (TBO), repeat purchase rates, and churn velocity to extract actionable growth signals independently. Smart Segmentation & Scoring: Move away from static rule-blocks. Implement signal-driven, predictive segmentation using customer scoring models and deviation tracking. Continuous A/B Testing: Own a rigorous, hypothesis-led testing roadmap (messaging, incentives, contextual personalization, send-time optimization) aimed at maximizing m