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Director-Business Analytics - Kansas City Royals (Kansas City · MO)

Kansas City Royals jobs
Sports Jobs in Kansas City · MO
Technical Services: Director
*In order to be considered for this role, after clicking "apply now" above and being redirected, you must fully complete the application process on the follow-up screen. *

Job Summary:
Responsible for leading the development, execution, and documentation of advanced analytics projects to support the evolution of the business operations beyond descriptive analytics into predictive and prescriptive analytics. This position is also responsible for building the Business Analytics function as a service center within the enterprise to solve business problems for internal clients and provide consultation for key decisions.  This position will be a technical and strategic expert in all business functions relating to statistical modeling, data interpretation and data visualization. This role will act as a “strategic doer”.

  • Support the development of the Business Analytics function and execute and manage the analytics roadmap for the organization
  • Partner with IT and business owners to optimize, aggregate, and streamline all data sources and develop models to inform how to sell to, market, communicate, and understand lifetime value of customers
  • Build and maintain models for internal clients (including predictive models, churn models, lead scoring, demand forecasting, regression analysis, decision trees, and price elasticity measurement)
  • Prepare and continuously update documentation regarding data and analysis
  • Manage relationships with third-party analytics vendors to maximize the benefits of these partnerships
  • Facilitate and manage major internal initiatives that use advanced mathematical and structured algorithms
  • Develop an understanding of data collection needs and recommend new data and new ways of acquiring data
  • Partner with business leads and participate as the analytical subject matter expert on key projects and initiatives
  • Champion the importance of data-driven decision making throughout the organization
  • Partner with IT on the creation, selection, and enhancement of analytical tools and systems
  • Remain accountable to executive stakeholders in building the Business Analytics function and achieving stated objectives

  • Strong interest in baseball and baseball business analytics
  • Bachelor’s Degree in Statistics, Mathematics, Economics, or Computer Science
  • Minimum 5 years hands-on experience in an analytics group working as a data analyst/modeler, preferably with experience in building and deploying predictive and prescriptive models in a B2C environment
  • Intermediate to advanced programming skills enabling the individual to extract and manipulate data from the data warehouse using SQL
  • Intermediate to advanced modeling skills for test execution and statistical analysis using tools such as R, SAS, and/or Python
  • Experience programmatically structuring and cleaning data, as well as evaluating statistical significance of data sets and samples
  • Strong relationship management and customer service skills
  • Highly organized and detail oriented, with strong multi-tasking skills
  • Demonstrated excellent written and verbal communication skills
  • Candidate must possess a professional “get it done” attitude and work ethic with strong interpersonal skills that facilitate interaction with individuals across all levels of the organization

Desired Qualifications: 
  • Advanced Degree preferred
  • Minimum 10 years total work experience preferred
  • Experience in an organization that successfully transitioned from descriptive analytics to predictive and prescriptive analytics capabilities
  • Experience/knowledge with experimental test design, hypothesis formulation, defining target selection criteria, and sample size evaluation
  • Background in analytics group within marketing or research preferably in live sports
  • Intermediate to advanced experience with PowerBI, Tableau, Looker or similar data visualization platforms