$ cat jobs/senior-marketing-and-experimentation-data-analyst-deliveryhero-6b5c82824456.json
Senior Marketing and Experimentation Data Analyst
foodpanda is part of the Delivery Hero Group, the world’s pioneering local delivery platform, our mission is to deliver an amazing experience—fast, easy, and to your door. We operate in around 65 countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. As a Senior Marketing and Experimentation Data Analyst, you will leverage your expertise to directly impact the marketing strategy and growth of our 16 markets by delivering actionable insights and advanced analytics solutions. In this role, you’ll work as an embedded thought-partner with senior marketing stakeholders to influence strategy and marketing tactics, mentor junior analysts, and leverage AI to build the future of marketing analytics. This is a high-visibility position that plays a pivotal role in data-driven decision-making. Strategic Marketing Analysis: Design and execute robust analytical methodologies, including designing A/B or geo tests, developing ML and causal inference models, and descriptive analysis techniques in order to measure incremental ROI and make actionable recommendations regarding marketing spend optimization and tactical execution of marketing initiatives Stakeholder Engagement & Influence: Collaborate closely with senior marketing partners to understand strategic objectives, recommend analytics solutions, negotiate priorities, and present insights. Comfortable presenting at leadership forums and driving alignment across teams Advanced Data Modeling & Measurement: Define measurement frameworks and metric definitions for key marketing levers; Lead the development of complex SQL models to implement and transform massive datasets into actionable insights using tools like BigQuery and dbt. Strategic Reporting & Visualization: Design and build compelling, user-friendly data assets including both traditional dashboards (e.g. Looker, Tableau) and agentic solutions (e.g. root-cause
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