Senior Marketing Business Intelligence Analyst (all genders)
Senior · Удалённо · Берлин, Германия · Английский B2
Навыки
A/B-тесты
AI-инструменты в работе
B2C-продажи
BI-инструменты
CAC / CPA / CPL
CRM-системы
Дашборды и витрины
Ещё 17
Решения на данных
Databricks
dbt
Google Analytics
HR-процессы
LTV
Оптимизация производительности
Puppet / Chef / Salt
Python
Retention и отток
ROI / ROMI / ROAS
Spark
SQL
SQL: оконные функции, CTE
Работа со стейкхолдерами
Tableau
Временные ряды
О компании и продукте
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.
Задачи
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
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
Требования
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
Будет плюсом
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