hellofresh

Senior Marketing Business Intelligence Analyst (all genders)

Berlin, Germany full-time Mid Salary not listed
full-time Mid level Technology & IT Curated
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About the role

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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Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Mid
Technology & IT CRM Data Analysis Finance MySQL Python Mid level

Likely questions

  1. Tell us about work you have done that is close to the Senior Marketing Business Intelligence Analyst (all genders) role.
  2. How would you approach your first 30 days at hellofresh?
  3. Which of CRM, Data Analysis and Finance have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with CRM, Data Analysis and Finance.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Senior Marketing Business Intelligence Analyst (all genders) role because I can bring practical experience in CRM, Data Analysis and Finance, learn the team quickly, and contribute to the outcomes hellofresh needs from this hire.

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