Marketing Data Analyst - Actives

Hellofresh

Berlin, Berlin, Germany (Berlin, Germany) permanent

Posted: December 15, 2025

Job Description

The role

As a Marketing Data Analyst – Actives in Global Marketing Analytics, you will contribute to shaping data-driven Marketing strategies focused on the existing HelloFresh customer base across 30+ markets on 3 continents. Based in our Berlin Headquarters, you’ll partner closely with the Global Actives Engagement Marketing function to drive customer engagement, retention, and overall business performance.

What you’ll do

• Support the Global Actives Engagement Marketing function: understand key business questions, translate them into analytical tasks, and deliver insights that inform strategic decision-making

• Build and evolve reporting and visualization assets that support day-to-day decision-making and enhance global performance oversight

• Measure, benchmark, and monitor Global Actives Engagement performance, identifying trends and opportunities to improve key customer and business KPIs

• Contribute to analytical projects in collaboration with Marketing as well as Product and Tech stakeholders, helping to drive alignment and clarity across teams

• Improve analytical processes by advocating for scalable, automated, and standardized solutions

• Participate actively in the Global Marketing Analytics community, sharing knowledge and supporting team-wide best practices

What you’ll bring

• A motivated, collaborative mindset with strong team-working skills and enthusiasm for solving business problems with data

• 3+ years of experience in Customer Analytics, Marketing Analytics, or a related quantitative field—ideally in a fast-paced B2C or subscription business

• A solid understanding of Customer Engagement/ Retention metrics and how they contribute to overall business performance

• A structured, results-oriented approach with the ability to break down broad questions into clear analytical steps

• Solid technical skills, including:

• SQL and Spreadhseets (required)

• Tableau or a similar visualisation tool (e.g. Looker, PowerBI)

• Python (a plus)

• Strong communication skills in English, with the ability to present findings clearly to non-technical audiences

• Reliable ownership of your work, with growing confidence in stakeholder interactions and cross-functional collaboration

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