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Business Intelligence Analyst - YinzCam, Inc. (Pittsburgh · PA)
YinzCam, Inc. jobs
Sports Jobs in Pittsburgh · PA
Marketing: Database Marketing/Analytics
The Business Intelligence Analyst is responsible for collecting, organizing and analyzing fan data from our 200+ team/league apps around the world.
The Business Intelligence Analyst is responsible for providing daily/weekly/monthly insights to NFL/NBA/MLS/LaLiga sports teams to
The Business Intelligence Analyst is responsible for providing daily/weekly/monthly insights to NFL/NBA/MLS/LaLiga sports teams to
- Drive their business decision-making
- Drive their content strategy for mobile apps
- Optimize their engagement across mobile and other digital platforms.
The ideal candidate has experience with business analytics in sports, and loves tinkering with databases, machine learning, statistics, and Tableau dashboards. The ideal candidate also has an understanding of ROI in sports, including ticketing, sponsorship, and other areas influenced by data. In addition, they must be a self-starter with expertise in relational databases, AWS cloud services, Java programming, SQL queries, Tableau, and more.
What you will be doing...
- Provide daily/weekly/monthly analytics reports to our sports teams
- Cleaning, organizing, and analyzing terabytes of data from mobile apps
- Creating, optimizing, and managing SQL code
- Running machine-learning algorithms on very large data sets
- Working with Java programs that interface with large Hadoop clusters
- Building, maintaining, and refining Tableau dashboards
- Working with the BI departments of 200+ sports organizations to deliver value every day.
Be our MVP if you have...
- Worked in a sports team or a league in a business analytics role
- 5 years of database design and operation (SQL)
- 3 years of data visualization (Tableau, PowerBI, etc.)
- 3 years of Hadoop (Hive and MapReduce)
- 5 years of Java systems programming
- Experience with deploying and maintaining software on Linux systems
- Experience with AWS cloud infrastructure (EC2, S3, EMR)
- Experience with ETL pipelines, and ETL frameworks such as Airflow
- Experience with machine-learning algorithms, time-series analysis, and statistical techniques
- Strong work ethic with the ability to get things done and meet deadlines
- Can thrive in a high energy fast-paced digital environment
- Master’s degree in Statistics, Economics, or related fields.
- Business analytics experience in the sports field.
Job Questions:
How many years of SQL experience do you have?
How many years of Java programming experience do you have?
Have you worked in a business analytics role in a sports team/league?
Are you willing to move to Pittsburgh?
