Staff Data Analyst – Behavioral Data (f/m/x)

Welcome to HelloFresh Group, the world’s leading integrated food solutions provider. We’re expanding with a new R&D Tech office in Wroclaw and looking for a Staff Data Analyst – Behavioral Data to join our Behavioral Data Squad. From day one, you’ll help shape the culture, work on meaningful R&D Tech projects, and contribute to a global company changing how people eat.

Working at HelloFresh

Our high‑performance culture values speed, agility, and continuous learning. We emphasize hands‑on contribution, a collaborative, egoless environment, and ownership. Teams thrive on in‑person collaboration, with an expectation to work from the office four days a week. This helps us stay closely connected to our shared goals and drive swift execution.

The role

As a Staff Data Analyst, you’ll own end‑to‑end data quality, governance, and observability for digital tracking across all markets. You’ll define and build metrics, visualisations, and targets, act as a data detective to root‑cause tracking discrepancies, and influence best practices across data infrastructure, platform, engineering, and analytics teams.

What You’ll Do

• Maintain your team’s data catalogue and delivery documentation.
• Collaborate with data product managers and engineers to create reusable data products.
• Gather requirements and define project objectives, using project‑management skills to plan and execute data‑driven projects.
• Partner across the senior product organisation to set strategic priorities and promote evidence‑based decision‑making.
• Communicate actionable insights clearly across the organisation.
• Explore and analyse customer behaviour and product performance data to detect growth opportunities for the HelloFresh digital product.
• Guide and mentor other Product Analysts, defining best practices and providing support.
• Review technical implementations across domains, continuously improving deliverables.

What You’ll Bring

• Extensive quantitative analysis experience, ideally with at least 5 years working closely with product teams.
• Expert‑level SQL and Python skills for analysis and manipulation of large data sets.
• Expert knowledge of data visualisation tools such as Tableau.
• Experience setting up A/B experiments, interpreting results, and deep‑dive analysis.
• Excellent communication skills, able to articulate complex business problems as analytical problems.
• Leadership of complex projects, capability building, and mentorship.
• A change mindset and willingness to challenge the status quo.
• Outcome‑oriented, aligning stakeholders to create business value through actionable insights.

What We Offer

• Private health insurance from day one.
• Hybrid working schedule – office 4 days a week with flexible hours.
• 26 days of paid vacation per year.
• Annual learning & development budget and mentoring program.
• Employee referral program with bonus for successful candidates.
• Daily comforts: free coffee, drinks, and fresh fruit.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function & Industries

Information Technology – Consumer Services