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Sr Human Resources Decision Science Consultant (PH) Lake Buena Vista, FL, USA

Remote role Full-time Open position

Job Posting Title: Sr Human Resources Decision Science Consultant (PH) Req ID: 10134432 Job Description: At Disney, we‘re storytellers. We make the impossible, possible. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world. Are you curious, creative, and love data? Do you love to learn new things and collaborate with colleagues and lead a team to solve hard and interesting problems? Imagine yourself as an Sr Human Resources Decision Science Consultant (PH) where your natural curiosity for discovering analytical insights and trends will help ensure we are making data-driven decisions within Human Resources (HR) and across Disney Experiences. In this role, you will be able to work closely with HR teams across Disney Experiences to blaze new paths in this data rich environment and impact HR strategies through proactive insights and collaboration. You will have the chance to leverage your expertise and knowledge to maximize the Company’s investment in our candidates and employees through complex analysis, data visualization, and compelling storytelling. This is a Project Hire (PH) role that will last until October 2026. Your Role:

  • Create reporting in new applicant tracking system
  • Create reporting and visualizations related to Disney Experiences Talent Acquisition and workforce metrics
  • Build and work with large and complex data sets to be used in analyses that inform business decisions
  • Consult with clients and Workforce Strategy, Analytics, and Systems team, translating business objectives and analytical needs into repeatable analytical solutions

What we’re looking for

  • Someone who loves working with data and wants to use their analytical skillset to impact the lives of Cast, Crew, and Imagineers across Disney Experiences
  • Experience working with quantitative and qualitative people data (including workforce metrics and talent acquisition metrics), and building strategic and operational dashboards
  • Excellent written and verbal communication skills; able to communicate complex analytical concepts in a compelling and simple story for non-technical audiences
  • Strong attention to detail and ability to break down complex processes into clear tasks
  • Passion for continuous improvement and continued learning in the field of workforce insights to keep well-informed on industry trends for metrics, benchmarks, research, and analysis
  • Demonstrated proficiency with analytics software such as Tableau, Cognos, and SQL (preferred experience with Snowflake and Dataiku) and building system reporting within Talent Acquisition systems
  • Data engineering experience preferred
  • A strong desire to provide excellent client service

How You Can Stand Out:

  • Proven experience in data storytelling and using analytical insights to influence data-driven decisions
  • Familiarity with HR and data systems (Workday, Cognos, Phenom, Success Factors) and visualization tools (Tableau)
  • Demonstrated understanding of HR processes and trends (e.g. Talent Acquisition, workforce, etc.)
  • Experience leading reporting and analytics projects

Required Education Bachelor’s Degree in Mathematics, Statistics, Economics, Engineering, Analytics / Business Analytics, Industrial and Organization Psychology, or a related field Preferred Education Master’s Degree in Mathematics, Statistics, Economics, Engineering, Analytics / Business Analytics, Industrial and Organization Psychology, or a related field Job Posting Segment: People & Culture Job Posting Primary Business: Strategy Systems & Analytics Primary Job Posting Category: HR Decision Science Employment Type: Full time Primary City, State, Region, Postal Code: Lake Buena Vista, FL, USA Alternate City, State, Region, Postal Code: Date Posted: 2025-10-17 Apply tot his job Apply To this Job

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