St. Louis Cardinals

Senior Business Analyst Jobs at St. Louis Cardinals

Senior Business Analyst Jobs at St. Louis Cardinals

Sample Senior Business Analyst Job Description

Senior Analyst, Business Strategy & Analytics

Summary of Responsibilities:

The Senior Analyst, Business Strategy & Analytics will clean and prepare data, develop statistical models and work closely with other members of the Business Strategy & Analytics team to help provide insights and create efficiencies within the Club. In addition, The Senior Analyst, Business Strategy & Analytics will be responsible for developing dashboards, reports, and statistical analysis to assist the Cardinals in all aspects of business decision making.

Essential Functions of the Job:

  • Query, clean, and model data from relational databases, APIs, NoSQL, and other non-standard sources
  • Work to develop and maintain advanced statistical models
  • Interpret data and analyze results using statistical techniques
  • Create automated and ad-hoc reports to share findings and recommendations
  • Convert existing manual reports to interactive dashboards for leadership teams
  • Perform statistical tests to verify business hypothesis
  • Use innovative and creative approaches to solve business problems and automate tasks
  • Keep current with analytics and industry specific trends and advancements

Education and Experience Required:

  • BS or MS in Computer Science, Statistics, Mathematics, Operations Research, Engineering or related field
  • Work experience with R or Python
  • Proficiency with SQL in a work environment
  • Proficiency with data visualization / Business Intelligence software (Power BI, Tableau, Looker, etc.)
  • 3+ years of experience in analytics/data analysis
  • Familiarity with ETL (Extract, Transform & Load) processes and data warehouse / data lake design
  • Passion for sports and/or baseball

Education and Experience Preferred:

  • Expertise with R or Python
  • Expertise with SQL
  • Demonstrated experience with predictive analytics / machine learning
  • Solid communication skills with a demonstrated ability to explain complex technical issues to technical and non-technical audiences
  • Demonstrated project management experience

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