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