Senior Marketing Data Analyst Pricing (all genders)

HelloFresh
Berlin
Workplace: HybridFull timeFunction: Data Analytics & Business IntelligenceExperience: 4+ yearsSkills: ["Collaboration","Results-oriented","Structured problem-solving","Stakeholder management","Communication"]

Drive data-informed pricing and discount decisions for HelloFresh brands as part of the Pricing Analytics team. Own end-to-end price and discount experiments, model customer price/promotional responses (elasticity, geo-segmented effects, ML-assisted recommendations), and apply causal inference when A/B tests aren’t possible. Ship analytics as production data products and self-serve apps (Databricks, SQL, Python, Streamlit), build reporting/visualizations, and translate insights into clear recommendations for cross-functional leaders.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
HelloFresh
HelloFresh
3 months ago

Senior Marketing Data Analyst Pricing (all genders)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Drive data-informed pricing and discount decisions for HelloFresh brands as part of the Pricing Analytics team. Own end-to-end price and discount experiments, model customer price/promotional responses (elasticity, geo-segmented effects, ML-assisted recommendations), and apply causal inference when A/B tests aren’t possible. Ship analytics as production data products and self-serve apps (Databricks, SQL, Python, Streamlit), build reporting/visualizations, and translate insights into clear recommendations for cross-functional leaders.
Location: Berlin
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Own price and discount experiments end to end, from hypothesis to test design, sizing, launch, and readout.
  • •Model customer responses to price and promotions, including elasticity, geo-segmented pricing, and discount/promo effects with ML-assisted recommendations.
  • •Apply causal inference methods (incrementality and quasi-experimental approaches) to measure impact when A/B tests aren’t feasible.
  • •Ship analysis as production data products and self-serve apps (Databricks, SQL, Python, Streamlit) for stakeholder use.
  • •Build reporting and visualization assets and communicate findings as clear recommendations for commercial leaders.

Pay and Benefits

Perks:Pension SchemeRelocation SupportHybrid WorkingLearning BudgetHealth Insurance

Key Requirements

  • •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, comfortable owning analysis end to end.
  • •Foundation in experimental design and A/B testing, including sizing tests and defining primary/guardrail metrics.
  • •Working knowledge of causal inference and econometrics (price elasticity, incrementality, quasi-experimental methods).
  • •Applied statistics and familiarity with ML methods (e.g., regression, trees, clustering; uplift/heterogeneous-effects is a plus).
Experience:4+ yearsB2CSubscription business
Skills:CollaborationResults-orientedStructured problem-solvingStakeholder managementCommunication
Languages:English
Tech Stack:SQLPythonDatabricksSparkStreamlitTableauLookerPower BIA/B testingCausal inferenceDifference-in-differencesSynthetic controlMatchingPrice elasticityEconometricsRegressionTreesClusteringUpliftHeterogeneous-effects

Company Brief

HelloFresh
HelloFresh is a meal-kit and food subscription company that delivers fresh ingredients and recipes to consumers, offering convenient home-cooked meals through weekly subscription boxes across multiple international markets.
Industry: FoodTech
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Berlin, Germany
Founded: 2011
Glassdoor
Glassdoor: 3.6
WebsiteLinkedIn