Jobs / Canada / HelloFresh Benelux B.V.

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

HelloFresh Benelux B.V. · 🇨🇦 Toronto, Ontario, Canada

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  • No salary bar for this routeCanada has no single salary bar: the employer usually needs a positive LMIA. Pay at or above the provincial median wage + 20% (e.g. C$36.92/h in Ontario) puts it in the high-wage stream. Source: https://www.canada.ca/en/employment-social-development/services/foreign-workers/median-wage.html, rules effective 2026-07-17.
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Sponsor Radar — HelloFresh Benelux B.V.

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About the role

S'more about the team We are looking for a Senior 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, to create the best digital product experiences that delight and retain customers. Your insights will drive user experience design, product development, and customer journey optimization and you will provide professional grade dashboarding and reporting that reaches the C-suite level for some of our most critical product and growth initiatives. Lettuce share what this role will be responsible for • Partner widely across the Senior Product organisation (Product, Software Engineering, UX leads) to set strategic priorities and promote a culture rooted in evidence-based decision making. • Collaborate with cross-functional teams to gather requirements and define project objectives while utilising project management skills to plan and execute data-driven projects. • Design, implement and analyze A/B tests and experiments to measure product feature impact and optimize user experiences. • Develop automated reporting and dashboards that democratize data access and enable self-service analytics across the organization. • Build sophisticated analytics solutions to define KPI trees, design measurement frameworks, and track product performance across app and web platforms, to identify opportunities for product improvement and growth. • Leverage AI and automation tools to dramatically increase efficiency in data analysis, reporting, and insight generation workflows. • Communicate complex data and statistical concepts persuasively to technical and non-technical stakeholders, influencing strategic decisions. • Review as a technical expert the implementations of multiple teams across domains, continuously improving the deliverables of your teams. • All other duties, as assigned Sound a-peeling? Here's what we're looking for • A BS or equivalent 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, custom event tracking, and experience with Mixpanel/Amplitude. • Advanced BigQuery experience required, including complex SQL queries, query optimization, data modeling, and working with large-scale datasets. • Advanced Python programming skills for data analysis, automation, and building analytical tools (pandas, numpy, etc.). • Strong Excel skills including advanced formulas, pivot tables, and data visualization. • Demonstrated track record of leveraging AI tools (ChatGPT, Claude, Copilot, etc.) to increase personal and team productivity in day-to-day analytical work. • Experience with data visualization tools such as Tableau, Looker, or Data Studio required. • Deep understanding of product analytics methodology like Understanding of Cookie/Event tracking, user behavior analysis, and Event experimentation design etc. • Proficiency with descriptive and inferential statistics required. • Experience with dbt, Airflow, or other modern data stack tools preferred. • Previous experience in fast-paced product-led or consumer-facing technology companies required. • A minimum of 5 years' experience analyzing complex data in a business context, with at least 3 years focused on product or web/app analytics. • Proven ability to work autonomously and drive projects from ambiguous problem statements to actionable recommendations. Let’s cut to the cheese, this is why you'll love it here • Box

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Source: Greenhouse (employer board) First seen: 2026-08-28 Last confirmed: 2026-10-03 How our data works → Report this job

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