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Senior Business Intelligence Developer

YinzCam Inc

Senior Business Intelligence Developer | YinzCam Inc

Senior Business Intelligence Developer

YinzCam Inc

Apply by 12/25/2022

Posted 4 days ago

How to apply


Pittsburgh, PA, USA

Job Type

 Job Description

The ideal candidate has experience with business analytics in sports, and loves tinkering with databases, Hadoop/Hive clusters, 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, Hadoop, Hive, Tableau, and more.
As a Senior Business Intelligence Developer, you will be responsible for:
  • Providing daily/weekly/monthly analytics insights to our sports teams
  • Cleaning, organizing, and analyzing terabytes of data from our mobile apps
  • Validating the analytics data that comes out of our mobile apps on a regular basis
  • Creating, optimizing, and managing complex SQL queries
  • Running machine-learning algorithms on very large data sets to extract insights
  • Writing Java programs to manage, and interface with, large Hadoop clusters
  • Building, maintaining, and refining Tableau dashboards
  • Creating data-export workflows into the data warehouses of professional sports teams
  • Working with the BI departments of 200+ sports organizations to deliver value every day.

Qualifications RequiredQualifications Required

  • Worked in a sports team or a league in a business analytics role
  • 5+ years of database design and operation, and writing complex SQL queries
  • 5+ years of data visualization (Tableau, PowerBI, etc.)
  • 5+ years of Java systems programming
  • 5+ years of Python programming
  • 3+ years of Hadoop (Hive and MapReduce)
  • 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

How To Apply

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