Senior Product Analyst

Thrive is a leading behavior change technology company founded by Arianna Huffington in 2016 with the mission to end the stress and burnout epidemic. Thrive helps individuals and organizations improve well-being, performance and mental resilience with its AI-powered behavior change technology platform. Thrive’s Microsteps – small, science-backed steps to improve health and productivity – have been adopted by employees at more than 125 organizations in over 140 countries, from frontline and call center workers to executives at multinational companies.

As the Senior Product Analyst, you will be a critical member of our product team. You will help us define and track key product and engagement metrics. You will help us track product adoption, engagement, retention, and customer health. You will design v0 and v1 content algorithms and collaborate with product managers and engineers. Your work will be central to the development and strategic success of the product. You will work autonomously and will own the data for several parts of the product. 

Who You Are:

• You are passionate about user engagement and helping create awesome products
• You are autonomous and possess strong technical and analytical knowledge 
• You can translate complex data into simple, actionable insights
• You are a believer in compassionate directness who gives and receives feedback with    heart 

How You'll Contribute:

• Correlate in-app user behavior with individual productivity and wellbeing results through regression analysis as well as machine learning models
• Track customer adoption at the account levels over time as well as by cohort to identify key trends and results
• Benchmark customers and individuals and compare to SaaS and wellbeing industry standards for customer success and marketing applications
• Marry customer usage and adoption with gross retention to identify key levers that drive health and help post sales teams implement 

Must Haves:

• Proven track record creating insightful analytics using statistical techniques
• Expertise across the entire stack (production > warehouse > business intelligence)
• Understanding of our key systems: Segment, BigQuery, DBT, Looker, etc.
• Significant hands on experience with SQL, Python/R, and relational databases
• Knowledge of key SaaS metrics and product benchmarks (DAU/MAU, User Retention, etc)
• Experience taking machine learning models from concept, to testing and validation, through  implementation, and post go-live evaluation
• Ability to work and interface directly with product managers and engineers

What We Offer:

• Being part of a mission-driven company that’s truly making a difference in the lives of people around the world
• Ability to develop within the company and shape our growth strategy
• A human-centric culture with a range of wellness perks and benefits
• A competitive compensation package
• Medical, dental and vision coverage + 401k program with company match
• Generous paid time-off programs