Staff Product Analyst, Consumer Analytics (f/m/x)

The role

We are looking for a Staff Product Analyst, with deep expertise in web and app analytics, to help drive data-informed product and growth decisions across our organization. You will join our analytics and reporting team working globally between our Berlin and New York City offices.

You will solve challenging business problems using digital product usage and customer data, leverage advanced analytics platforms like Google Analytics 4, Snowplow and BigQuery to generate actionable insights, and provide professional grade dashboarding and reporting that reaches the C-suite level for some of our most critical product and growth initiatives.

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.

What you’ll do

• Partner with Product, Marketing, and Growth teams to define KPI trees, design measurement frameworks, and track product performance across app and web platforms


• Build sophisticated analytics solutions using Google Analytics 4 (GA4), Snowplow and BigQuery to extract deep insights from large-scale behavioral datasets


• Design, implement and analyze A/B tests and experiments to measure product feature impact and optimize user experiences


• Analyze user journeys, conversion funnels, retention cohorts and engagement patterns to identify opportunities for product improvement and growth


• Work with marketing teams to analyse and provide recommendations based on customer lifecycle data


• Leverage AI and automation tools to dramatically increase efficiency in data analysis, reporting, and insight generation workflows


• Develop automated reporting and dashboards that democratize data access and enable self-service analytics across the organization


• Communicate complex data and statistical concepts persuasively to technical and non-technical stakeholders, influencing strategic decisions


• Mentor junior analysts and promote analytics best practices across the organization

What you’ll bring

• BS or equivalent in a quantitative field (business, CS, math, economics, statistics, engineering)


• 7–8+ years analyzing complex business data, including 4–5+ years in product/web/app analytics at fast-paced, product-led tech companies


• Expert-level product analytics experience (GA4/Snowplow, Mixpanel/Amplitude), including advanced event tracking, experimentation, and user behavior analysis


• Advanced BigQuery skills (complex SQL, optimization, data modeling, large-scale datasets)


• Strong Python for analytics and automation (pandas, numpy) plus advanced Excel (formulas, pivots, visualization)


• Proficiency in data visualization tools (Tableau, Looker, Data Studio)


• Solid grounding in descriptive & inferential statistics; experience with marketing, CRM, and lifecycle analytics a plus


• Proven ability to work autonomously, drive ambiguous projects to impact, and leverage AI tools (ChatGPT, Copilot, etc.) to boost productivity

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.


• Elevate your lifestyle with exclusive discounts on your weekly HelloFresh box and office meals.


• Invest in your growth with a 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!

#DATA