Senior Product Analyst, Consumer Analytics

Work with HelloFresh in Warsaw and its HelloTech organisation, HelloFresh’s global technology backbone with more than 1000 people, building digital products that power an end-to-end food experience. HelloTech creates platforms that bring tailored food solutions to millions of customers every month, supporting meal kits, ready-to-eat meals, specialty offerings like pet food, and premium meat & seafood. The organisation works in autonomous, cross-functional teams owning specific products or domains with a subscription-based, direct-to-consumer model relying on technology in areas including customer-facing apps, personalization, pricing, forecasting, and supply chain optimization.

• BS or equivalent degree in business, computer science, mathematics, economics, statistics, engineering, or relevant quantitative field.
• Expert-level proficiency with Google Analytics 4 (GA4) / Snowplow, including advanced configuration and custom event tracking; experience with Mixpanel/Amplitude.
• Advanced BigQuery experience, including complex SQL queries, query optimization, data modeling, and handling large-scale datasets.
• Advanced Python programming skills for data analysis, automation, and analytical tool development (e.g., pandas, numpy).
• Strong Excel skills including advanced formulas, pivot tables, and data visualization.
• Demonstrated experience leveraging AI tools such as ChatGPT, Claude, and Copilot in analytical tasks.
• Experience with data visualization tools like Tableau, Looker, or Data Studio.
• Deep understanding of product analytics methodologies including Cookie/Event tracking, user behavior analysis, and experimentation design.
• Proficiency with descriptive and inferential statistics.
• Preferred experience with dbt, Airflow, or other modern data stack tools.
• Experience providing services to fast-paced, product-led or consumer-facing technology companies.
• Minimum of 5 years analyzing complex business data, with at least 3 years focused on product or web/app analytics.
• Proven ability to work independently, converting ambiguous problems into actionable recommendations.

• Partner with Senior Product organization including Product, Software Engineering, and UX leads to support strategic priorities.
• Collaborate with cross-functional teams to gather requirements and define project objectives.
• Design, implement, and analyze A/B tests and experiments to measure product feature impact.
• Develop automated reporting and dashboards enabling self-service analytics.
• Build advanced analytics solutions to define KPI trees, measurement frameworks, and track product performance across app and web.
• Leverage AI and automation tools to improve data analysis efficiency.
• Communicate complex data and statistical concepts to technical and non-technical stakeholders to influence decisions.