Analyze complex product and user behavior data to identify key metrics, trends, and customer pain points
Partner with Product to frame problems, define success metrics, and identify data-backed solutions
Quantify the impact and ROI of opportunities to support prioritization and roadmap decisions
Design and analyze experiments (A/B tests), including defining hypotheses, success metrics, and measurement plans
Build and maintain dashboards and reports that provide visibility into product performance and customer experience
Enable self-service analytics by developing trusted data models and documentation in Looker and Google Analytics
Deliver ad-hoc analyses and insights to support product, growth, and operational decisions
Communicate insights clearly through visualizations, narratives, and presentations tailored to senior stakeholders

Requirements

4-5 years of experience in Product Analytics, ideally within consumer or subscription-based businesses
Expert-level SQL skills and strong data modeling intuition
Extensive experience with Looker / LookML or similar BI tools
Hands-on experience analyzing user behavior using product analytics tools (Heap, Google Analytics, Amplitude, etc), including defining and validating event tracking
Strong foundation in experimental design and measurement best practices
Excellent data storytelling and communication skills
Highly organized, detail-oriented, and able to manage multiple workstreams
Comfortable operating in a fast-moving, evolving environment
Excited to help shape and scale a growing Product Analytics team

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
Wellbeing benefits
401k with match
A work from home stipend to support your initial home-office setup

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

SQLdata modelingA/B testingexperimental designevent trackingdata analysisdata visualizationcustomer experience analysisROI quantificationdashboard development

Soft skills

data storytellingcommunicationorganizational skillsdetail-orientedmulti-taskingproblem framinginsight deliverystakeholder engagementadaptabilitycollaboration