Marketing Data Analyst for pricing strategy

HelloFresh supports its global brands with analytics that inform price and discount strategies, helping them make decisions about pricing, growth, and operations.

• Own price and discount experiments end to end, from framing hypotheses and designing tests to launching them and delivering readouts
• Model customer responses to prices and promotions, including price elasticity, geo-segmented pricing, discount and promotion effects, and ML-assisted discount recommendations
• Apply causal inference and quasi-experimental methods to measure impact when a clean A/B test is not possible
• Ship analyses as data products, including production pipelines and self-serve apps
• Build and improve reporting and visualization assets for pricing decisions and performance oversight
• Communicate technical findings as clear recommendations and actionable next steps for commercial leaders
• Collaborate with data science, finance, and marketing to measure discount impact across gross and net revenue and short- and long-term customer profitability
• Collaborate with and mentor analysts, promoting scalable, automated, and reproducible ways of working
• As the scope grows, measure, benchmark, and monitor brand and market performance, help inform marketing budgets, and contribute to the Market Insights agenda with senior stakeholders

• 4+ Years of experience in data science, analytics, or a related quantitative field, ideally in a fast-paced B2C or subscription business
• Strong SQL and Python skills, with the ability to own analyses end to end
• Knowledge of experimental design and A/B testing, including test sizing and selection of primary and guardrail metrics
• Working knowledge of causal inference and econometrics, including price elasticity, incrementality, and quasi-experimental methods
• Solid applied statistics and familiarity with machine-learning methods such as regression, trees, and clustering; able to judge when a method is useful and when a simpler approach is better
• Strong understanding of Marketing and Growth metrics and their connection to overall business performance
• Familiarity with modern data stacks such as Databricks, Spark, or a SQL warehouse, and visualization tools such as Tableau, Looker, Power BI, or Streamlit
• Results-oriented and structured approach to turning ambiguous business questions into analytical frameworks and insights
• Proven project ownership and stakeholder management, especially in senior or cross-functional settings
• Excellent English communication skills, including explaining analytical concepts to non-technical audiences and influencing decisions
• Motivated, collaborative mindset, strong teamwork skills, and passion for solving complex business problems
• Будет плюсом: pricing, discounting, or marketing analytics experience, Market Insights or market benchmarking experience supporting senior leadership, Bayesian or hierarchical/mixed-effects modeling, GenAI or LLM tooling for analytics

• Berlin relocation support
• Hybrid working model
• Competitive compensation package
• HelloFresh-subsidized pension scheme
• Discounts on HelloFresh boxes and office meals
• Annual learning and development budget, German language learning budget, and access to the HelloFresh Academy
• Mental health support, transportation perks, working-parent-friendly benefits, 24/7 gym access, wellbeing platforms, and sabbatical leave options
• 40 Hours per week