Analyst, Business Development & Analytics

Los Angeles Dodgers

Full Time
Los Angeles Dodgers
Los Angeles, CA

Job Details

Title:                           Analyst, Business Development & Analytics

Department:              Business Development & Analytics

Status:                        Full Time

Reports to:                 Director, Business Development & Analytics

Posting Date:             July 19, 2017

 

The Los Angeles Dodgers are seeking an Analyst, Business Development & Analytics. The Analyst will be a key member of the Demand Analytics Initiative in building an analytical platform that generates value both within the Dodgers organization and with external partners.

Job Functions:

  • Research, develop, and test mathematical models for sales forecasting, pricing, marketing mix modeling, and other demand planning and management applications
  • Assist in building robust and extensible products that can successfully improve demand decision-making across event- and ticket-driven organizations
  • Design interactive business intelligence tools that incorporate “what-if?” modeling capabilities
  • Maintain and improve upon production code with version control, collaboration, and general software development best practices
  • Communicate model development and product management across diverse stakeholders
  • Research and evaluate leading operations research, economics, marketing, statistical, and machine learning theory, techniques, and practices
  • Provide input on product development, data collection, data architecture, front-end development, and general business strategy
  • Perform other related duties as assigned

Basic Requirements/Qualifications:

  • Bachelor’s or Master’s Degree in Statistics, Economics, Mathematics, Operations Research, Computer Science (Machine Learning), or a closely related field.
  • Minimum two years’ work experience in revenue (yield) management, marketing analytics, statistical, machine learning, consulting, or related field
  • Familiarity and good judgment with a broad range of methodologies and tools, such as exploratory data analysis, regression models, forecasting models, simulation, probability models, discrete choice, clustering, optimization, and cross-validation
  • Experience in mathematical and statistical programming (e.g. R and Python)
  • Proficiency with SQL and relational databases
  • Knowledge of BI presentation tools and packages (e.g. R Shiny, Tableau, D3), web programming language (e.g. HTML, CSS, JavaScript), and general programming languages (e.g. C, C++, Java) are a plus
  • Possess excellent reasoning, problem-solving, creative thinking, and communication skills
  • Demonstrated ability to meaningfully generate value in an entrepreneurial environment

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