About the Role

As a Senior Marketing Data Analyst on our Pricing Analytics team within the Global Marketing Analytics organisation, you’ll play a pivotal role in driving data-informed pricing and discount decisions at HelloFresh.

Based at our Berlin Headquarters, you’ll help build best-in-class analytics to support pricing and discount strategies across HelloFresh’s brands. You’ll turn data into strategic recommendations, challenge the status quo and directly shape how our global brands price, grow and operate.

Reporting to the Associate Director of Pricing Analytics, you’ll partner closely with the commercial Pricing & Discount Strategy team and stakeholders across Product, Engineering, ML&AI and Finance.

You’ll bring the toolkit of a data scientist – including experimentation, causal inference and modelling – alongside the judgement to turn analytical insights into business decisions. As our scope expands, there will also be opportunities to grow into broader Market Insights work, supporting senior leadership across our 15+ markets.

What You’ll Do

• Own Price & Discount Experiments: Manage experiments end-to-end, from framing hypotheses and designing tests to sizing, launching them through our always-on testing programme and delivering results.
• Develop Pricing & Promotion Models: Model customer responses to pricing and promotions, including price elasticity, geo-segmented pricing, discount and promotional effects, and ML-assisted discount recommendations.
• Apply Causal Inference: Use incrementality and quasi-experimental methods, such as difference-in-differences, synthetic control and matching, to measure true business impact when a clean A/B test isn’t possible.
• Build Data Products: Turn analysis into production pipelines and self-service applications using Databricks, SQL, Python and Streamlit. Deliver solutions that stakeholders can use directly rather than relying on one-off notebooks.
• Reporting & Visualisation: Build and enhance reporting and visualisation assets that support day-to-day pricing decisions and strengthen performance oversight.
• Communicate Strategic Insights: Translate complex technical findings into clear recommendations and tangible next steps for commercial leaders without a technical background.
• Cross-Functional Collaboration: Work closely with Data Science, Finance and Marketing teams to measure discount impact consistently across gross and net revenue, as well as short- and long-term customer profitability.
• Mentorship & Knowledge Sharing: Collaborate with and mentor analysts within the team, championing scalable, automated and reproducible ways of working.
• Market Insights: As the scope of the role grows, measure, benchmark and monitor brand and market performance, help inform Marketing budgets and contribute to the broader Market Insights agenda alongside senior stakeholders.

What You’ll Bring

• A motivated and collaborative mindset, strong teamwork skills and a passion for solving complex business problems.
• 4+ years of experience in Data Science, Analytics or a related quantitative field, ideally within a fast-paced B2C or subscription-based business.
• Strong SQL and Python skills: Both are essential, and you’ll be comfortable owning analytical projects end-to-end.
• Experimental Design & A/B Testing: A solid foundation in experimental design, including how to size tests and select primary and guardrail metrics.
• Causal Inference & Econometrics: Working knowledge of price elasticity, incrementality and quasi-experimental methods.
• Applied Statistics & Machine Learning: Solid applied statistics skills and familiarity with common machine learning methods, including regression, decision trees and clustering. Experience with uplift modelling or heterogeneous treatment effects is a plus. You also have the judgement to understand when a particular method genuinely adds value and when a simpler approach is more effective.
• Marketing & Growth Analytics: A strong understanding of Marketing and Growth metrics and how they connect to overall business performance.
• Modern Data Stack: Experience with modern data technologies such as Databricks, Spark or SQL warehouses, alongside visualisation tools such as Tableau, Looker or Power BI, or application development using Streamlit.
• Analytical Problem-Solving: A structured, results-oriented approach and the ability to turn vague or ambiguous business questions into clear analytical frameworks and actionable insights.
• Project Ownership & Stakeholder Management: Proven experience managing projects and stakeholders, particularly in senior or cross-functional environments.
• Communication Skills: Excellent English communication skills, with the ability to explain analytical concepts to non-technical audiences and influence business decision-making.

Nice to Have

• Experience in pricing, discounting or marketing analytics.
• Experience in Market Insights or market benchmarking, particularly when supporting senior leadership.
• Knowledge of Bayesian or hierarchical/mixed-effects modelling.
• Experience with GenAI/LLM tools for analytics, such as natural-language-to-SQL solutions, AI agents or assistant interfaces.

What We Offer

• Be Part of Our Growth: Elevate your lifestyle by joining one of Europe’s fastest-growing tech powerhouses during an exciting phase of expansion.
• A Diverse Global Community: Immerse yourself in an international working environment with colleagues from more than 90 nationalities.
• Competitive Compensation & Benefits: Enjoy an attractive compensation package that goes beyond the norm, including a HelloFresh-subsidised pension scheme, Berlin relocation support and a hybrid working model.
• Exclusive Discounts: Benefit from exclusive discounts on your weekly HelloFresh box and office meals.
• Learning & Development: Invest in your professional growth with an annual learning and development budget, a German language learning budget and access to the HelloFresh Academy.
• Health & Wellbeing: Take advantage of mental health support, transportation benefits and working-parent-friendly initiatives.
• Wellbeing & Lifestyle Perks: Enjoy 24/7 gym access, wellbeing platforms such as Headspace and Spill, and sabbatical leave options.

Ready for the Challenge?

Are you ready to make an impact on pricing strategy and shape data-driven decisions across our global brands?

Please submit your complete application below, including your salary expectations and earliest possible starting date.

We look forward to hearing from you!