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Senior Marketing Business Intelligence Analyst (all genders)

hellofresh

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placeBerlin, Berlin home_workVor Ort labelMarketing publicAggregierter Job · DE

eventVeröffentlicht am 14. Aug. 2026 · verifiedWir haben am 25. Aug. 2026 bestätigt, dass er noch aktiv ist

Über den Job

The role

As a Senior Marketing Data Analyst in the Marketing Analytics team, you will play a key role in driving data-driven decision-making at HelloFresh. Based at our Global Headquarters in Berlin, you will own the Virality Analytics space, focusing on our Referral / Refer-a-Friend (RAF) programs across 12+ HelloFresh markets and multiple brands (HelloFresh, Factor, Green Chef, Chefs Plate, EveryPlate, and more). Referral is one of HelloFresh's most efficient acquisition channels and a strategic growth lever for the next chapter of the business. You will be the analytical voice behind referral products, shaping how we measure them, how we grow them, and how we prove their value to the C-suite. Your insights will shape strategies to optimize customer acquisition, sender engagement, friend conversion quality, and long-term customer value contribution from the referral channel. What you’ll do Act as the trusted analytics partner to the Virality Marketing, CRM, and Growth stakeholders — translating broad, ambiguous business questions into structured, prioritized analytical work Own the Virality marketing reporting (WBRs, QBRs and Forecasting) as well as funnel-level diagnostics across sender and friend journeys Represent Virality analytics in cross-functional forums with Product, Marketing, Data Engineering, CRM Ops, and Finance Co-design, quality-control, and analyze A/B tests on referral incentive structures, entry points, share flows and CRM comms Apply rigorous experimentation methodology — power analysis, primary metric selection, guardrail metrics, sample-size-aware interpretation — and communicate results to non-technical stakeholders Analyze customer value contribution using MPC2 predictions, sender-reward cost, friend-discount cost, and cost-per-conversion economics Contribute to virality-related initiatives beyond RAF — organic sharing, social loops, and future referral product bets Collaborate with fellow analysts across Marketing, Retention, Loyalty, and Product Analytics to keep methodology and definitions consistent Contribute to code reviews, dashboard reviews, and documentation Mentor more junior analysts on structured problem-solving and stakeholder communication What you’ll bring Must have 6+ years of experience in Marketing, Product, or Customer Analytics — ideally in a fast-paced B2C, subscription, or growth-oriented business Advanced SQL proficiency — comfortable with window functions, CTEs, complex joins, and performance-tuning queries on large event-level tables Strong hands-on experience with A/B testing design and analysis, including statistical significance, power, guardrails, and small-sample handling Proven ability to build and maintain BI dashboards (Tableau, Databricks, or similar) that reach senior leadership Experience designing and working with GenAI designed end to end workflows from problem definition to documentation and creating reproducible research Strong problem-solving skills with a track record of translating ambiguous business challenges into structured, data-driven projects Excellent stakeholder management skills, with experience influencing cross-functional Product, Marketing, and Engineering partners Comfort working with event-level behavioral data (Snowplow, Google Analytics, or equivalent) is a PLUS Nice to have Prior experience with referral / virality / growth-loops programs, or with acquisition-channel economics (CAC, LTV, ROI) Experience with CRM analytics (email, push, in-app) — including deliverability, engagement, and unsubscription guardrails Python for data transformation, ad-hoc analysis, or lightweight modeling Familiarity with Databricks / Spark SQL , dbt, or similar modern data-stack tooling Exposure to statistical modeling techniques beyond A/B testing — segmentation, clustering, regression, causal inference (diff-in-diff, synthetic control) Experience with Statsig, Optimizely, or similar experimentation platforms Experience contributing to event tracking design (Snowplow, GA4) — schema design, entity modeling, event naming What we offer Modern and comfortable working space with great co-workers in Berlin-Kreuzberg Discount for HelloFresh boxes and Convini products Development possibilities along with internal trainings and a yearly Learning & Development budget

Flexible working hours including Work From Home/Work from Abroad/Sabbatical Policy, as well as a home office set up budget

Extensive Onboarding and Buddy Program Social events including team events, Friday beers, company runs, book club, etc. Discounted fitness offers with our Urban Sports Club and John Reed partners and yoga classes Well-being initiatives in cooperation with Headspace and Spill Childcare and company pension scheme benefit Monthly transportation budget via NAVIT

Above all, we are looking for people who will make HelloFresh better. We believe there are many different ways of developing skills and we love diverse experiences! So even if you don’t “tick all the boxes” but think you’d thrive in this role, we would really like to learn more about you.

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