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Mobile Analytics Engineer - YinzCam (Pittsburgh · PA)

YinzCam jobs
Sports Jobs in Pittsburgh · PA
Marketing: Database Marketing/Analytics
YinzCam builds the official mobile apps of 200+ professional sports teams, including those of NFL/NBA/MLS/NHL/LaLiga clubs. These mobile apps have tens of millions of users, who are consuming terabytes of content on a daily basis.

We are looking for an enthusiastic and enterprising Mobile Analytics Engineer to analyze the mobile analytics data from these 200+ sports team apps. 

What you will be doing...
  • Running SQL queries on terabytes of data, based on our clients' requests
  • Applying machine-learning and statistical algorithms on this data, to look for trends and insights
  • Creating analytics reports for sports-team executives 

Be our MVP if you have...
  • 2 years+ of experience with SQL, relational databases, NoSQL databases, including Postgres and Cassandra
  • 2 years+ of experience in working with Hadoop, Hive, Spark, and other big-data platforms
  • 2 years+ of experience with Google Analytics, Firebase
  • 2 years+ of experience with AWS cloud services, such as EC2, EMR, RDS, Redshift
  • 2 years+ of experience in Java/C++/Python programming
  • Expert programmer and tinkerer, comfortable around operating systems, cloud computing, network protocols
  • Willingness to work in a high energy, fast-paced environment
  • Strong desire to learn and grow career
  • Degree in Computer Science/Engineering, with a heavy focus on machine-learning, data science, data engineering.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Job Questions:

  1. How many years of experience do you have with an analytics role in a sports team?

  2. How many years of experience do you have with Hadoop, Hive, Spark, or other big-data systems?

  3. How many years of experience do you have with SQL?