Senior Marketing Data Analyst Pricing

As a Senior Marketing Data Analyst on the 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. You'll help build best-in-class analytics to support price and discount strategy across HelloFresh's brands — turning data into strategic recommendations and directly shaping how global brands price, grow, and operate.

What you'll do

• Own price and discount experiments end to end — frame the hypothesis, design the test, size it, launch it through the always-on testing program, and deliver the readout.
• Model how customers respond to price and promotions — price elasticity, geo-segmented pricing, discount and promo effects, and ML-assisted discount recommendations.
• Apply causal inference — incrementality and quasi-experimental methods (difference-in-differences, synthetic control, matching) — to measure true impact where a clean A/B test isn't possible.
• Ship analysis as data products — production pipelines and self-serve apps (Databricks, SQL, Python, Streamlit) that stakeholders use directly.
• Build and enhance reporting and visualization assets that support day-to-day pricing decisions and strengthen performance oversight.
• Communicate complex technical findings as clear recommendations and tangible next steps for commercial leaders without a technical background.
• Collaborate with data science, finance, and marketing to measure discount impact consistently across gross and net revenue and customer profitability.
• Collaborate with and mentor analysts within the team, championing scalable, automated, and reproducible ways of working.

What you'll need

• 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 — you're comfortable owning an analysis end to end.
• Foundation in experimental design and A/B testing, including how to size a test and choose primary and guardrail metrics.
• Working knowledge of causal inference and econometrics — price elasticity, incrementality, and quasi-experimental methods.
• Applied statistics and familiarity with common machine-learning methods (regression, trees, clustering).
• Strong understanding of Marketing and Growth metrics and how they connect to overall business performance.
• Comfort in a modern data stack (Databricks / Spark / a SQL warehouse) and a visualization tool (Tableau, Looker, Power BI, or Streamlit).
• Excellent communication skills in English, with the ability to explain analytical concepts to non-technical audiences.

Nice to have

• Pricing, discounting, or marketing-analytics domain experience.
• Market Insights / market-benchmarking experience supporting senior leadership.
• Bayesian or hierarchical / mixed-effects modeling.
• GenAI / LLM tooling for analytics (e.g., natural-language-to-SQL, agent or assistant surfaces).

What they offer

• Competitive compensation package with HelloFresh-subsidized Pension Scheme and Berlin relocation support.
• Hybrid working model.
• Exclusive discounts on HelloFresh boxes and office meals.
• Annual learning & development budget, German language learning budget, and access to HelloFresh Academy.
• Mental health support, transportation perks, 24/7 gym access, and working-parent-friendly benefits.