Marketing Data Analyst

About this role

Responsibilities

• As a Marketing Data Analyst in the Reactivation Analytics team, you will join the wider Global Marketing Analytics group. You will act as a strategic consultant, using data to understand customer behaviour, their journey and more importantly what motivates them to return. Your experience in CRM Analytics, combined with a knack for storytelling through data, will directly influence the ability to reduce churn impact and optimize our channels along with marketing spend.
• Above all, we are looking for people who will make HelloFresh better. We believe there are many different ways of developing skills and we love diverse experiences! So even if you don’t “tick all the boxes” but think you’d thrive in this role, we would really like to learn more about you.
• What you’ll do
• Support the Global Reactivations 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 Reactivation performance, identifying trends and opportunities to improve key customer and business KPIs
• Improve analytical processes by advocating for scalable, automated, and standardized solutions
• Utilise various databases and querying/programming languages to access, manipulate and present the data needed
• You will not only take responsibility of own projects, but also be a team player to collaborate and share knowledge with other analysts
• What you’ll bring
• 3+ years 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 of experience in Customer Analytics, Marketing Analytics, A/B testing or in a quantitative field—ideally in a fast-paced B2C or subscription business
• Expertise in technical skills including: SQL and Spreadsheets (required), Tableau or a similar visualisation tool (e.g. Looker, PowerBI), Python (ideally)
• Experience in testing (AB testing, campaign analytics, channel efficiency)
• Experience in statistical modeling, regression, clustering, time series etc
• Experience in performing analysis with large datasets and knowing what the common pitfalls are
• Analytical and critical thinking combined with good presentation and communication skills
• Strong problems solving skills and hands-on & can-do attitude