Senior Product Analyst, Consumer Analytics

HelloFresh is a global technology company with its HelloTech organisation as the technology backbone, employing over 1000 people. It builds digital products powering an end-to-end food experience through meal kits, ready-to-eat meals, pet food, and premium meat & seafood. The company operates a subscription-based, direct-to-consumer model supported by technology for apps, personalization, pricing, forecasting, and supply chain optimization across global markets. HelloTech works in autonomous, cross-functional alliances owning specific products or domains, with a modern tech stack and international teams.

• BS or equivalent degree in business, computer science, mathematics, economics, statistics, engineering, or a 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 large-scale datasets.
• Advanced Python programming skills for data analysis, automation, and building analytical tools (e.g., pandas, numpy).
• Strong Excel skills including advanced formulas, pivot tables, and data visualization.
• Proven track record of leveraging AI tools such as ChatGPT, Claude, Copilot to increase productivity in analytical tasks.
• Experience with data visualization tools such as Tableau, Looker, or Data Studio.
• Deep understanding of product analytics methodology including cookie/event tracking, user behavior analysis, and experimentation design.
• Proficiency with descriptive and inferential statistics.
• Experience with dbt, Airflow, or similar modern data stack tools preferred.
• Previous experience providing services to fast-paced product-led or consumer-facing technology companies.
• Minimum of 5 years of experience analyzing complex data in a business context, with at least 3 years focused on product or web/app analytics.
• Proven ability to work independently and drive projects from ambiguous problem statements to actionable recommendations.

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