Under Armour Connected Fitness is hiring a

Data & Analytics Engineer

Austin, United States

About Under Armour Connected Fitness

As an established leader in performance and innovation, Under Armour Connected Fitness is dedicated to improving the health and fitness of millions of athletes worldwide. Powered by the foundation of the MapMyFitness suite of mobile apps and websites, Under Armour Connected Fitness continues to deliver game-changing solutions to how athletes train, perform and improve by creating the ultimate worldwide digital community dedicated to health and fitness. The team of digital products currently under the Under Armour Connected Fitness brand include Under Armour Record, Armour39, MapMyRun, MapMyRide, MapMyFitness, MapMyWalk and MapMyHike.

Under Armour Connected Fitness is looking for a Data & Analytics Engineer that will work on a unique project which brings together enterprise data along with fitness data from the world’s largest digital fitness community. This position will be located at our UACF headquarters in down Austin, TX. Our Data & Analytics Engineer will  work with cross functional teams within Under Armour to bring together data from various sources from within the company and analyze data to give the business actionable insights.  The candidate will be part of the IT organization but will work cross functionally with a heavy emphasis on Connected Fitness. 

Responsibilities:

  • Analyze data from internal and external sources

  • Augment, document, and understand current ETL process

  • Familiarity with creating reports using our current (and future) BI tools – SAP Hana, Lumira, Google Analytics Premium, Tableau, Redshift, PostgreSQL, MySQL, Excel, etc.

  • Strong business perspective; able to merge business questions/needs with available data to provide data-driven insights

  • Field quick-turn requests for ad hoc analytics

  • Have entrepreneurial nature to help to implement better process

  • Create new ETL scripts for new data sources and reports

  • Think about data and data modeling in context of a platform that spans both mobile and web and a business that spans advertising, subscription services, retail, wholesale and e-commerce

Job Requirements and Skills:

  • 5+ Years experience working in a data engineering/programming capacity

  • Very strong written, verbal, and interpersonal skills

  • Strong proficiency with SQL – queries AND writing stored procedures (SAP HANA, MySQL, PostgreSQL, etc.)

  • Strong Python programming skills

  • Strong analytical skills including the ability to define problems, collect data, establish facts, and draw valid conclusions

  • Ability to articulate the benefits of different approaches to data warehousing and the implications to business intelligence

  • Strong knowledge of statistical concepts, terms, and calculations

  • Google analytics – including events, conversions (GAP a plus!)

  • Mobile analytics and retail/ecommerce analytics

  • Willingness to take initiative to contribute beyond basic responsibilities -- be a leader not a follower.

  • Ability to thrive in a startup environment – comfortable with ambiguity and operating in a collaborative environment

Bonus Skills:

  • JavaScript and experience with JS visual libraries

  • Experience with sensor/performance and geospatial data

  • Experience with Hadoop, Spark or other big data technologies