Senior Analyst, Personalization

About Us

Hungryroot is using AI to build the most consumer-centric food and wellness company to ever exist. We act as your personal assistant for healthy living—getting to know your goals, lifestyle, and budget, and recommending and delivering healthy groceries, easy recipes, and essential supplements for you and your family.

It’s the easiest way to eat healthy, achieve your goals, save time, and discover new foods. We believe food is the foundation of health, convenience should not mean compromise, and that everyone is unique in how they eat and live. That’s why we’re building a future in which healthy living is both easy and enjoyable.

Hungryroot is a distributed team of top talent across 28+ U.S. states. While we have a headquarters in New York City, our remote-first culture emphasizes collaboration, team-building, and flexibility. Expect regular virtual team events, strong ownership and accountability, and an annual company retreat.

About the role

We are looking for a Senior Analyst to be a part of our growing Personalization team. You’ll be responsible for supporting our personalization algorithm (SmartCart) with metrics tracking, finding areas of opportunity via analyses, and testing new features. These analyses and tests directly impact the food we recommend and send to our customers!

This role will join Hungryroot’s Personalization team and you will report directly to our Senior Manager, Personalization. In this critical role you will work with the broader Data Science team, to uncover and test areas of opportunity for our personalization algorithm.  We are looking for a highly technical analyst who is able to find and effectively communicate insights to broader teams. If you want to help us change how people grocery shop and eat for the better, we encourage you to apply!

Responsibilities

• Develop a detailed understanding of our database and algorithm, to understand inputs and outputs of our algorithm, and easily pull and validate data.
• Test new features to ensure accurate new feature implementation 
• Help manage projects to ensure development, QA, and dashboards are completed on time and accurately
• Design and maintain dashboards and KPIs using SQL, Databricks, and Looker to monitor algorithm effectiveness and business performance.
• Conduct daily monitoring of metrics, identifying anomalies, diagnosing root causes, and implementing data-driven solutions.
• Collaborate with Data Engineers and Software Developers to define new tables, optimize data models, and integrate ML-driven features into analytical workflows.
• Leverage statistical analysis and A/B testing methodologies to size opportunities and evaluate personalization and food experience enhancements.
• Automate key data validation and quality assurance processes to enhance efficiency and reliability.

Qualifications

• 5+ Years regularly in a DB performing analysis
• 5+ Years of Hands-On SQL Experience
• 2+ years with data visualization tools (ideally Looker)
• Experience working cross-functionally with Software Developers or Data Engineers 
• Experience with project management for new product features
• Experience at a Fast Paced Start-Up
• Experience with personalization and/or algorithms is a plus
• QA experience is a plus
• Databricks experience a plus

Perks & Benefits

• Remote-first: work from home, work from our NYC office, work from anywhere in the U.S. - you decide!
• Equity 
• Unlimited vacation policy
• Universal paid parental leave
• Monthly Hungryroot credit for delicious, healthy groceries
• Comprehensive health, vision, dental, and life insurance
• 401k with Company Match
• A work from home stipend to support your initial home-office setup

Expected Pay Range:

$110,000-$140,000

#LI-REMOTE

The employer will not sponsor applicants for work visas.

Our mission to help make healthy eating easy, accessible, and joyful is better served by a diverse workplace. We are a proud Equal Opportunity Employer committed to building an inclusive workplace. We have zero-tolerance for harassment or discrimination. We do not discriminate on the basis of any protected class.