Workforce Analytics Manager at The Walt Disney Company

Lake Buena Vista, Florida, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Entertainment, Hospitality, Theme ParksIndustries

Requirements

Experience in Decision Science, Data Science, or analytical workspaces
Proficiency in Project Management and ability to independently handle multiple competing deadlines
Experience with coding languages like SQL and Python
Experience with data visualization tools and applications like Tableau, PowerApps, and PowerPoint
Preferred: Experience with data manipulation and analytical tools (R, Dataiku, SSMS, PowerAutomate, PowerBI)
Preferred: Experience with Advanced Analytics (Coding, AI, Statistical Analysis, Significance testing)

Responsibilities

Demonstrate strong relationship management skills including mentoring and guiding peers and colleagues, communicating advanced analytical concepts to non-technical audiences, and influencing and building trust with key stakeholders
Investigate and research new technologies and methodologies as a proven innovator
Lead and own projects and work streams with minimal guidance from leadership
Act as a subject matter expert/specialist within scope of work, becoming the partner of choice for executives and key decision makers
Work across cross-functional areas to develop holistic models to predict and prescribe improvements to Walt Disney World labor strategy
Leverage data science skills to deliver mathematical models and ad-hoc statistical analyses
Conduct end-to-end analysis including data collection and exploration, feature generation and reduction, and algorithm selection up to advanced machine learning models
Work in large, complex data environments, compiling and cleansing data across domains to create analytic foundations
Determine best techniques to solve problems efficiently across statistical, predictive, and prescriptive methods
Interpret analysis and model outputs to make relevant recommendations, draw inferences, quantify uncertainty/risk, and identify limitations
Develop presentations and reports using quantitative information for non-technical stakeholders
Conduct process mapping, assess findings, and provide recommendations for efficiency and effectiveness
Familiarity with workforce metrics and drivers (Workload, Call-Outs, Attendance, Offerings, Attrition, Variability) to review, analyze, and leverage for strategic direction
Collaborate with partners across business areas (Operations, Finance, HR, LR, ER) on planning and staffing