Senior Marketing Data Analyst Pricing (all genders)

Meyandy LLC; Berlin; Hybrid; EUR 80.000 - 110.000; Vollzeit

Zusammenfassung

HelloFresh in Berlin is seeking a Senior Marketing Data Analyst to drive pricing and discount analytics across brands. You will own experiments, build data products, and partner with Product, Engineering, ML/AI, and Finance to turn data into strategic pricing decisions.

Leaders will rely on your expertise in experimental design, causal inference, and applied statistics to influence marketing budgets and revenue optimization across HelloFresh’s global markets.

Qualifikationen

• 4+ years of experience in data science, analytics, or a related quantitative field.
• Strong SQL and Python
• Foundation in experimental design and A/B testing
• Working knowledge of causal inference and econometrics
• Solid applied statistics and familiarity with common machine-learning methods
• Strong understanding of Marketing and Growth metrics and their impact

Aufgaben

• Own price and discount experiments end to end and deliver readouts.
• Model how customers respond to price and promotions using elasticity and geo-segmentation.
• Apply causal inference methods to measure true impact where A/B tests aren’t possible.
• Ship analysis as data products with self-serve pipelines (Databricks, SQL, Python, Streamlit).
• Build and enhance reporting and visualizations to support pricing decisions.

Kenntnisse

SQL

Python

A/B testing

Causal inference

Statistics

Machine learning basics

Marketing metrics

Tools

Databricks

Streamlit

Jobbeschreibung

The role

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

Reporting to the Associate Director of Pricing Analytics, you'll partner closely with the commercial Pricing & Discount Strategy team and stakeholders across Product, Engineering, ML&AI, and Finance. You'll bring the toolkit of a data scientist — experimentation, causal inference, and modeling — and the judgment to turn it into decisions. As our scope expands, there's room to grow into broader Market Insights work supporting senior leadership across our 15+ markets.

What You'll Do

• Own price and discount experiments end to end — frame the hypothesis, design the test, size it, launch it through our 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, not one-off notebooks.
• 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 short- and long-term customer profitability.
• Collaborate with and mentor analysts within the team, championing scalable, automated, and reproducible ways of working.
• As scope grows, measure, benchmark, and monitor brand and market performance and help inform Marketing budgets — contributing to the Market Insights agenda alongside senior stakeholders.

What You'll Bring

• A motivated, collaborative mindset with strong team-working skills and a passion for solving complex business problems.
• 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 (required) — you're comfortable owning an analysis end to end.
• A 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.
• Solid applied statistics, and familiarity with common machine-learning methods (regression, trees, clustering; uplift / heterogeneous-effects a plus) — with the judgment to know when a method genuinely helps and when a simpler approach is better.
• A strong understanding of Marketing and Growth metrics and how they … Senior Marketing Data Analyst Pricing (all genders) — hellofresh, Berlin.