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

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 Discount - Amazing discounts on 1 box per week! 75% discount on weekly HelloFresh and Chefs Plate meal kits AND 50% off weekly Factor meal box.
• Health & Wellness - Health & Dental benefits from day 1, a Health Spending Account, unlimited access to the Headspace app to meet your self-care needs, and 25% discount on GoodLife fitness memberships!
• Vacation & PTO - Time off is also an important part of self-care! We offer generous vacation and PTO to help you create a good work-life balance. 
• Family Benefits - A parental leave top-up program for expectant parents.
• Growth & Development - We support your career progression and invest in your continued learning through experiences and initiatives owned by our dedicated L&D team
• Work Hard & Have Fun - From team socials to engaging company days, you’ll have plenty of opportunity to experience the fun!
• Diversity & Inclusion Initiatives - With impactful ERG’s like FreshPride, Women Empowered and LIMES, we are committed to our diversity, equity & inclusion efforts.
• Food Puns - this one is kind of a big dill if you haven’t already noticed. We even have some punny meeting room names!

Flexible Hybrid Approach

At HelloFresh, we know that flexible work arrangements are essential in enabling you to do your best work, while balancing your personal and life needs. Offering remote work flexibility, along with the opportunity to interact and collaborate in the office are all a part of creating a great employee experience. 

To meet these needs, we are pleased to provide Flexible Hybrid work. Flexible Hybrid is a people-first approach that is based on choice, trust, personalization, and empowers teams to choose when and how often they work from the office and work from home, in addition to team days and company days. This means a minimum of 2 days in office per week, with most teams in office between 2-3 days a week.

#LI-HYBRID

HelloFresh Canada uses AI-integrated technology to help us process and evaluate applications more efficiently. This includes tools that screen and assess candidate qualifications based on the requirements for this role. While these tools assist our workflow, all final selection decisions are made by our hiring team.

This is a posting for an existing vacancy. We are actively seeking to fill this position.

#PRODUCT #DATA