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About the Role
As a Senior Marketing Data Analyst on the Pricing Analytics team, you will drive data-informed pricing and discount decisions. You will build analytics to support price and discount strategy across HelloFresh's brands, turning data into strategic recommendations and shaping global brand pricing. You will partner closely with commercial Pricing & Discount Strategy teams and stakeholders across Product, Engineering, ML&AI, and Finance, using data science toolkits like experimentation, causal inference, and modeling to inform decisions. There is potential to grow into broader Market Insights work supporting senior leadership.
Responsibilities
- Own price and discount experiments end to end, including hypothesis framing, test design, sizing, launch, and readout.
- Model customer response to price and promotions, including price elasticity, geo-segmented pricing, discount/promo effects, and ML-assisted discount recommendations.
- Apply causal inference methods (difference-in-differences, synthetic control, matching) to measure impact where A/B testing is not feasible.
- Ship analysis as data products, including production pipelines and self-serve apps using Databricks, SQL, and Python.
- Build and enhance reporting and visualization assets to support pricing decisions and performance oversight.
- Communicate complex technical findings and recommendations to non-technical commercial leaders.
- Collaborate with data science, finance, and marketing to consistently measure discount impact on revenue and customer profitability.
- Collaborate with and mentor analysts, promoting scalable, automated, and reproducible work practices.
- Measure, benchmark, and monitor brand and market performance, contributing to the Market Insights agenda and informing Marketing budgets.
Requirements
- 4+ years of experience in data science, analytics, or a related quantitative field, preferably in a fast-paced B2C or subscription business.
- Strong SQL and Python skills.
- Foundation in experimental design and A/B testing, including test sizing and metric selection.
- Working knowledge of causal inference and econometrics (price elasticity, incrementality, quasi-experimental methods).
- Solid applied statistics and familiarity with common machine-learning methods.
- Strong understanding of Marketing and Growth metrics and their connection to business performance.
- Comfort with modern data stack tools (Databricks/Spark/SQL warehouse) and visualization tools.
- Results-oriented, structured approach to analytical problem-solving.
- Proven project ownership and stakeholder management skills.
- Excellent communication skills in English, with the ability to explain analytical concepts to non-technical audiences.
Skills
- SQL
- Python
- Experimental design
- A/B testing
- Causal inference
- Econometrics
- Price elasticity
- Incrementality
- Quasi-experimental methods
- Applied statistics
- Machine learning
- Regression
- Tree-based models
- Clustering
- Uplift modeling
- Heterogeneous effects modeling
- Marketing metrics
- Growth metrics
- Databricks
- Spark
- SQL warehouse
- Tableau
- Looker
- Power BI
- Streamlit
- Project ownership
- Stakeholder management
- Communication
Location
- Berlin Headquarters
Work Type
- Hybrid working model
Experience Level
- Senior
- 4+ years of experience
Benefits
- Competitive compensation package
- HelloFresh-subsidized Pension Scheme
- Berlin relocation support
- Exclusive discounts on weekly HelloFresh box
- Office meals discounts
- Annual learning & development budget
- German language learning budget
- Access to HelloFresh Academy
- Mental health support
- Transportation perks
- Working-parent-friendly benefits
- 24/7 gym access
- Wellbeing platforms (Headspace, Spill)
- Sabbatical leave options
About the Company
- One of Europe's fastest-growing tech powerhouses in a dynamic phase of expansion.
- A diverse global community of 90+ nationalities.