Do you geek out at the intersection of statistics and storytelling? Are you passionate about finding the story the data is telling, and using it to help drive key decisions? Are you interested in helping shape the direction of the world’s largest health and fitness community?

Let’s talk.

The MyFitnessPal team needs an experienced analyst to join our Product Analytics team in our downtown SF office, supporting our Premium Subscription business.  The Senior Manager of Product Analytics will help guide development and innovation of new features and subscription strategies through deep data analytics and consumer insights.  They will be part of a team of analysts that coordinate across teams and functions to maximize the value of the digital consumer by ensuring that MyFitnessPal provides the highest possible value to that consumer. 

What you'll be doing day to day 

  • In depth analysis of subscription products, including
    • Overseeing proper design, implementation, and interpretation of results for A/B/N tests
    • Financial forecasting model development
    • Churn and conversion modeling
    • User behavior analysis
    • Segmentation/funnel studies
    • Clustering/User Profiles
  • Success metrics development
    • Revenue KPIs and other key metric definitions
    • Data source analysis and requirements definition
    • Data flow algorithm optimization and automation
    • Reporting and visualization
  • Team development
    • Mentor other members of the team on analytics best practices
    • Guide team on developing repeatable methods for similar analyses
    • Help team build their analytics skills
  • Integration with Engineering teams
    • Requirements building for data infrastructure
    • Instrumentation definition with development engineers
    • ETL prototype development
  • Complex data analysis tasks
    • Machine learning models (classification, regression, clustering)
    • LTV (lifetime value) calculation
    • Data transformation scripting
    • Conversion of data into stories for broad audience consumption=

The most successful applicants will have experience with the following:

  • 6+ years in data analytics
  • Advanced degree in an analytical field (predictive analytics, data science, business, statistics, hard or social sciences)
  • Advanced SQL skills
  • A/B/N testing including optimal sample size and experiment duration determination, significance of results calculation
  • Background in B2C freemium subscription model analytics
  • Presenting in written and verbal form to senior leadership as well as wide audiences of varying levels of sophistication
  • Dexterity with an advanced statistical package (e.g. Pandas, SciPy, SciKitLearn)
  • Programming in a scripting environment (e.g. Jupyter notebooks)
  • Tableau/Looker visualization


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