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Performance Data Analyst Jobs

Company

Disney Parks, Experiences and Products

Address Celebration, FL, United States
Employment type FULL_TIME
Salary
Category Entertainment Providers
Expires 2023-09-11
Posted at 9 months ago
Job Description
Consumer Insight, Measurement & Analytics (CIMA) is a part of Disney Parks, Experiences and Products, and is a center of excellence leading strategy development and decision making through actionable data analytics, integration, and insights. Within CIMA, the Digital and Travel Operations Analytics (DTOA) team is focused on leveraging best practices in analytics to capture data, analyze, and optimize our digital and contact center channels to drive Guest satisfaction and business outcomes.


In your new role as Performance Analyst, you’ll provide measurement and analytical support for Contact Centers and pre arrival Walt Disney World Commerce. You’ll frequently engage in, forecasting, root-cause analysis, processing, quality assurance, ad hoc business analysis, as well as providing analytical support to the local operation and partners across the division. This includes development, administration, measurement, and analytics. You will succeed in this role if you are a self-starter, endlessly curious, detail-oriented, passionate about data storytelling, capable of dealing with ambiguity, and meeting strict timelines.


We encourage you to apply, even if you don't think you meet every single requirement in this posting. In DTOA, we’re looking for great analytical talent, not just those who tick 100% of the boxes.


You will report to the Manager, Travel Operations Analytics and be located in Orlando, Florida.


What You Will Do


Performance Analytics and Forecasting


  • Build presentations and visualizations to tell compelling stories with data
  • Create, maintain, audit, and continuously optimize reports and files used to process numerous programs
  • Conduct forecasting, ad hoc modeling, and deep-dive analysis to influence business decisions
  • Execute programs critical to the business operation accurately under strict timelines
  • Present and communicate findings, insights, and recommendations to Senior Leadership and business partners
  • Monitor agent performance, proactively identify areas that require additional research, and own analyses from start to finish


Measurement and Analytics


  • Collaborate with team members, leaders, and business partners to answer abstract business questions with sound quantitative analyses and reproducible results
  • Leverage multiple reporting systems and databases (Tableau, Snowflake, Hadoop, Dataiku, Excel, etc.) to conduct analyses and build/maintain reports
  • Monitor data quality and report accuracy; escalate if needed
  • Stay up-to-date with the latest data science trends and share knowledge and best practices with team members
  • Apply innovative analytic approaches to test hypotheses and extract actionable insights


We’d love to hear from people with


  • Desire to excel in a fast-paced, complex, and ambiguous business environment
  • Strong attention to detail and ability to follow through on tasks and complete projects on time
  • Proactive curiosity to understand the “Why” behind performance, decisions, etc.
  • Bachelor’s degree and 2+ years of quantitative, non-internship experience in an analytical role
  • Experience with SQL and R or Python
  • Effective communication skills (verbal, written, and visual)
  • Familiarity with forecasting including traditional statistical methods and/or machine learning or deep learning techniques


Nice-to-Haves


  • Solid understanding of statistical inference and demonstrated experience in applying statistical rigor to analyses
  • Excellent SQL skills and fluency in R or Python
  • Ability to maintain and grow relationships with partners/clients/team
  • Graduate degree and/or 4+ years of relevant experience in analytics or data science
  • Knowledge of data visualization best practices and experience with data visualization tools, such as Tableau or Power BI
  • Ability to quickly adapt and learn new programs and skills