Analyst, Business Development & Analytics
Los Angeles Dodgers
Los Angeles, CAThis was removed by the employer on 7/29/2017 9:16:00 PM PST
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Full Time Job
Title: Analyst, Business Development & Analytics
Department: Business Development & Analytics
Status: Full Time
Reports to: Director, Business Development & Analytics
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