Senior Marketing Data Analyst Pricing (all genders)

Hellofresh; Berlin; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

HelloFresh Pension Scheme (subsidized)

Berlin relocation support

Hybrid working model

Discounts on HelloFresh boxes

Learning & development budget

Headspace access & wellness perks

Job summary

HelloFresh in Berlin seeks a Senior Marketing Data Analyst to lead data-driven pricing and discount decisions across brands. You will partner with Pricing, Product, ML/AI, and Finance to translate complex analyses into strategic recommendations, shaping how HelloFresh prices, grows, and operates globally.

You’ll design experiments, build data products, and mentor teammates while expanding into Market Insights for senior leadership across 15+ markets. This role is based at our Berlin HQ.

Qualifications

• 4+ years in data science, analytics, or related quantitative field in fast-paced B2C/subscription environment.
• Strong SQL and Python (required).
• Experience with experimental design and A/B testing.
• Working knowledge of causal inference and econometrics.
• Solid applied statistics and familiarity with ML methods.
• Understanding of Marketing and Growth metrics and how they connect to business performance.
• Experience with modern data stack (Databricks/Spark/SQL warehouse) and visualization tools.
• Excellent communication skills in English to explain complex analyses to non-technical stakeholders.

Responsibilities

• Own price and discount experiments end to end and deliver readouts.
• Model customer response to price and promotions, including elasticity and discount effects.
• Apply causal inference methods to measure impact beyond clean A/B tests.
• Ship analyses as data products with production pipelines and self-serve apps.
• Build and enhance reporting and visualization assets for pricing decisions.
• Communicate findings as actionable recommendations for commercial leaders.
• Collaborate with data science, finance, and marketing to measure discount impact on revenue and profitability.
• Mentor analysts and promote scalable, automated workflows.
• Contribute to Market Insights and inform Marketing budgets as scope grows.

Skills

SQL

Python

Experiment design

Causal inference

Statistics

Machine learning basics

Data visualization

Databricks

Spark

Tableau/Looker/Power BI

Tools

Databricks

Spark

SQL warehouse

Job description

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 connect to overall business performance.
• Comfort in a modern data stack (Databricks / Spark / a SQL warehouse) and a visualization tool (Tableau, Looker, or Power BI; or apps built in Streamlit).
• A results-oriented, structured approach, able to turn vague or ambiguous business questions into clear analytical frameworks and insights.
• Proven project ownership and stakeholder management, especially in senior or cross-functional settings.
• Excellent communication skills in English, with the ability to explain analytical concepts to non-technical audiences and influence decision-making.

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 we offer

Elevate your lifestyle! Join one of Europe's fastest-growing tech powerhouses in a dynamic phase of expansion.

• Immerse yourself in a diverse global community of 90+ nationalities.
• Enjoy a competitive compensation package that goes beyond the norm, with perks like a HelloFresh-subsidized Pension Scheme, Berlin relocation support, and a Hybrid working model.
• Exclusive discounts on your weekly HelloFresh box and office meals.
• Invest in your growth with an annual learning & development budget, German language learning budget, and access to the HelloFresh Academy.
• Plus, we've got your well-being covered with mental health support, transportation perks, and working-parent-friendly benefits. From our 24/7 gym access, wellbeing platforms like Headspace and Spill, to sabbatical leave options, HelloFresh is not just a workplace; it's a lifestyle of perks and possibilities!

Are you up for the challenge?

#JD1002