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HelloFresh

Senior Product Analyst (M/F/X)

Paris, Paris, France; Paris, FranceFrance
Senior · Product Management
POSTED 25 AUGVERIFIED 4H AGO
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Pay · H-1B filings
$122k
median · n=4 · FY26
Open for
70d
since 25 Aug
H-1B · FY26
8
3 PERM
Hiring · 30d
378
−1 net · open roles
PythonSQLLLMs

Join a French Foodtech Superstar!

At HelloFresh, we're shaking up the way people eat in France with our meal kits!

Our ambition? To revolutionise our subscribers' everyday lives by promoting a more sustainable way of cooking and introducing them to delicious, creative and balanced recipes. The perfect blend of technology and gastronomy, with plenty of flavour!

HelloFresh operates in more than 15 countries. France is one of our youngest markets, launched in 2019, where we've experienced tremendous growth, establishing ourselves as the market leader. Joining our team means having a real impact within one of France's most promising scale-ups!

How do we make all this happen? Through a talented and dynamic team, strong values rooted in kindness and diversity, and an inspiring, stimulating work environment.

If you'd like to be part of this exciting human, international and entrepreneurial adventure, come and join us!

The Role : What’s in the Box

The France Marketing & Product Analytics team is a small team at the core of HelloFresh France's performance management. It measures marketing and product performance, keeps the underlying data reliable, and supports the Growth and Product teams with analyses that guide daily and long-term decisions. ROI and customer lifetime value (CLV) sit at the center of marketing decisions.

The team works closely with Marketing, Product, Finance, Operations and Global Analytics (Berlin).

The Senior Product Analyst divides their time equally between Product and Marketing. On the product side, they are the analytical reference for product decisions in France, working with the Culinary, Menu Planning and Strategy & Product Development (SPD) teams. On the marketing side, they shape growth strategy with data, weighing investment allocation and acquisition versus retention trade-offs, and explaining what drives marketing performance.

Cross-cutting responsibility: design and maintain internal analytical tools (scripts, dashboards, automations) that support the Culinary, Menu Planning, SPD and marketing workflows, and sponsor agentic analytics and AI tools across both areas.

What You'll Do : The Recipe

Product responsibilities (50%)

  • Product performance reporting: present regular summaries on menu performance, recipe adoption and assortment rotation to feed management reviews, with key KPIs defined and tracked.
  • Customer analytics through a product lens: analyze menu and recipe performance together with customer behavior and preferences (satisfaction, repurchase, retention by menu or recipe choice) to inform assortment decisions, and identify high-impact opportunities to feed the product strategy.
  • Strategic projects: lead the analytical and operational side of strategic projects that improve the product.

Marketing responsibilities (50%)

  • Strategic analyses: collaborate closely with our CMO and marketing leadership to drive strategic decisions (analyses on growth strategy, investment allocation and acquisition versus retention trade-offs).
  • Top line performance deep dives: investigate the root causes behind changes in marketing performance, and explain them from a customer and purchase behavior perspective (customer segmentation, discount applied, box taken, purchase behavior over time).
  • Management summaries: turn these deep dives into concise, top-level insights for management review.

What You'll Bring

  • You have graduated from a top-tier engineering or business school, or hold a university degree in Data, Statistics or a related field.
  • You have at least 4 years of experience in data analytics, business intelligence or data science, ideally in an e-commerce, FMCG or food-tech environment.
  • You have advanced SQL skills; Python is a plus.
  • You have experience with BI tools (Tableau preferred) and excellent command of Google Sheets.
  • You have experience using AI/ML tools for exploratory analysis (e.g. anomaly detection), as well as leveraging LLMs to boost analytical productivity.
  • You can turn complex analyses into clear, concise and actionable recommendations for non-technical stakeholders.
Source · HelloFresh · GreenhouseFirst seen 3 NovOriginal ↗Method