Senior Data Analyst - BI and Marketing Analytics (all genders)

at  Delivery Hero

Company Description
As the world’s pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in over 70+ countries worldwide, powered by tech, designed by people. As one of Europe’s largest tech platforms, we enable creative minds to deliver solutions that create impact within our ecosystem. We move fast, take action and adapt. No matter where you’re from or what you believe in, we build, we deliver, we lead. We are Delivery Hero
Job Description
We are looking for a Senior Data Analyst (all genders) to join the BI and Marketing Analytic ( BIMA) team on our journey to always deliver amazing experiences. This is a global position working closely with our brands in over 70 countries and implementing strategy from our HQ in Berlin
BIMA is part of the Global marketing team responsible for central BI and marketing analytics . BIMA’ s team mission is to drive marketing actions through data-driven solutions & strategic insights to ensure sustainable growth. We drive strategic projects such as customer segmentation, marketing ROI measurement , CLV and support the C-level in making strategic decisions across all brands and countries.
If you’re a creative problem solver who is hungry for a new adventure, an international workplace is waiting for you in the heart of Berlin!

The Senior Data Analyst will be responsible for optimizing our marketing strategies through data-driven insights and advanced analytics. This role will collaborate closely with the marketing leads , product, and data science teams, and regional analytic teams to analyze marketing performance and optimize our acquisition and retention strategies. Your key responsibilities include :

• Utilize analytics to provide actionable insights on marketing performance.
• Design and implement A/B testing and other experimental frameworks to assess the effectiveness of marketing initiatives.
• Create tools , KPI frameworks, and reports to measure ROI of marketing spend. Continuously monitor and guide marketing spend across various channels to maximize ROI.
• Create statistical models to project customer lifetime value, measure customer acquisition costs (CAC) and use analytics to reduce CAC and increase LTV
• Analyze and improve the customer segmentation to drive targeting strategies in the local markets and increase customer retention
• Work closely with marketing, product, and engineering teams to ensure alignment on data needs and create global guidelines on how data needs to be collected and consumed.
• Present findings and recommendations to senior leadership and stakeholders in a clear and actionable manner.

Qualifications

Your heroic skills:

• 4+ years of experience in marketing analytics, with a focus on user retention for technology-driven consumer facing companies.
• Strong proficiency in analytics tools and platforms (e.g., Google Big Query, Google Analytics, Tableau, SQL, Python/R).
• Exceptional analytical skills with the ability to translate data into actionable insights.
• Excellent communication and presentation skills, with the ability to influence stakeholders at all levels.
• Experience with A/B testing, attribution modeling, and other experimental design methodologies.
• Strong understanding of digital marketing channels and strategies, including CRM, paid search, social media, and content marketing.

Additional Information

• Utilize analytics to provide actionable insights on marketing performance.
• Design and implement A/B testing and other experimental frameworks to assess the effectiveness of marketing initiatives.
• Create tools , KPI frameworks, and reports to measure ROI of marketing spend. Continuously monitor and guide marketing spend across various channels to maximize ROI.
• Create statistical models to project customer lifetime value, measure customer acquisition costs (CAC) and use analytics to reduce CAC and increase LTV
• Analyze and improve the customer segmentation to drive targeting strategies in the local markets and increase customer retention
• Work closely with marketing, product, and engineering teams to ensure alignment on data needs and create global guidelines on how data needs to be collected and consumed.
• Present findings and recommendations to senior leadership and stakeholders in a clear and actionable manner