Under Armour Connected Fitness is hiring a

Product Analyst

Austin, United States

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 Under Armour Connected Fitness team, the world’s most integrated digital health suite of apps, devices, and apparel, needs a digital product analyst to join our team in our downtown Austin office.  The product analyst uses data science to guide development and measure the impact of new features and products within the digital app space.  The candidate will be part of the Product team that develops such apps as MyFitnessPal, MapMyFitness, and Endomondo.  The candidate will perform:


  • In depth analysis of product features, including
    • User behavior analysis
    • A/B test result analysis
    • Segmentation/funnel studies
    • Statistical significance determination
  • Product success metrics development
    • KPI and other product performance metric definition
    • Data source analysis and requirements definition
    • Algorithm optimization and automation
    • Reporting and visualization
  • Critical data analysis tasks
    • Data anomaly detection and correction modeling
    • Transformation and manipulation scripting
    • Conversion of data into stories for broad audience consumption
  • Cross-team project support for
    • Marketing, PR, and customer outreach
    • Executive Level Business Intelligence
    • User Research, Business Development, Customer Happiness, et al.


The best candidates will have experience with the following:


  • 2 years+ in data analytics/data science
  • Bachelor’s degree in an analytical field (business, math/statistics/CS, hard or social sciences)
  • Solid SQL skills
  • Tableau visualization
  • Programming in a scripting environment (e.g. Python)
  • Dexterity with an advanced statistical package (e.g. R, SciPy)
  • Communicating data stories in written and verbal form to wide audiences of varying levels of sophistication

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