Senior Marketing Business Intelligence Analyst (all genders)

hellofresh · Berlin, Berlinsenior

In short

▸Analista senior de BI enfocado en analytics de viralidad y programas de recomendación (Refer-a-Friend) en 12+ mercados.
▸Diseñas y analizas pruebas A/B, reportes para directivos y dashboards para medir el impacto económico y de crecimiento del referral.
▸Destaca ser el líder técnico y analítico del canal de recomendación, con influencia directa en decisiones de alto nivel.

Proficiency in English is required.

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What they ask for

✓6+ años en analytics de marketing, producto o cliente, preferiblemente en B2C o suscripción.
✓Dominio avanzado de SQL con experiencia en consultas complejas y optimización.
✓Experiencia comprobada en diseño y análisis de pruebas A/B con metodologías rigurosas.
✓Capacidad de crear dashboards ejecutivos (Tableau, Databricks u otros) para equipos directivos.
✓Experiencia en flujos de trabajo con GenAI, desde definición de problema hasta documentación reproducible.
✓Habilidades de comunicación y gestión de stakeholder con equipos multidisciplinarios.

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SQLTableauDatabricksSnowplowGoogle AnalyticsA/B testingPower analysisCTEsWindow functionsEvent-level data

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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 •

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