Analytics & Insights Manager (Consumer Products, Games And Publishing)

Job Summary:Would you love to use data & analytics to bring the magic of Disney’s stories and characters to life for consumers through engaging physical products? Do you have a passion for developing insights that connect desired marketing and business outcomes with actual results to make data-driven recommendations?

Consumer Insight, Measurement & Analytics (CIMA) is part of the Disney Parks, Experiences and Products (DPEP) segment of The Walt Disney Company. CIMA influences data-driven and consumer-centric decision making with integrated, objective, and actionable insights.

As an Analytics & Insights Manager in CIMA, you will support internal stakeholders by providing strategic insights with a focus on digital marketing and customer analytics for Consumer Products, Games and Publishing (CPGP), the division of Disney Parks, Experiences and Products (DPEP) that brings stories and characters to life through innovative and engaging physical products.

The position reports to the Senior Manager, Strategic Analytics and will be based in Orlando, FL.
Responsibilities:

You’d join a fast-paced team dedicated to impacting marketing strategy, media optimization, and customer acquisition & retention by measuring, analyzing, synthesizing, and interpreting a broad spectrum of data.

Every single day as an Analytics & Insights Manager is different! On any one day you might:

• Manage analytics projects from beginning to completion – including translating business questions into an analytics scope, developing measurement plans & KPI framework, establishing data requirements and sourcing data, conducting analysis, summarizing results, and creating and delivering presentations
• Leverage a variety of different internal and external data sources (including marketing, media, digital, customer, sales, and product data) to conduct analyses, identify trends, guide strategic recommendations
• Evaluate the effectiveness of Marketing campaign performance while delivering actionable insights to improve results
• Support optimization of media (paid, owned, earned), content, audiences, campaigns, customer acquisition, and retention through testing and prescriptive analytics
• Analyze large and complex consumer behavior data to identify patterns and uncover opportunities related to how guests are responding to marketing efforts and interacting with shopDisney.com, Disney Stores, and Third-Party Retail businesses
• Design effective and impactful reports and visualizations that show business performance

Basic Qualifications:

• Bachelor’s Degree with preferred concentration in Business, Marketing, Economics, Statistics, Finance, Industrial Engineering, Operations Research, Data Mining, or similar field
• 5+ years of analytics/marketing analytics experience
• Expertise manipulating large data sets, interpreting data trends and using a multitude of disparate data sources and tools
• Excellent understanding of marketing fundamentals and digital media industry, including media metrics and quantitative business measures
• Strong understanding of marketing/media measurement and attribution
• Proficiency with data access tools (e.g. SQL, R) and data visualization tools (e.g. Tableau, Looker, Power BI)
• Experience with statistical analysis and testing, including hypothesis formulation, experimental design, significance-setting, and post-experiment analysis
• Ability to think strategically, analyze, and interpret market and consumer information
• Ability to work well in a fast-paced business environment and display professionalism and confidence in challenging situations
• Exceptional project management and communication skills
• Strong attention to detail

Preferred Qualifications:

• 7+ years of analytics/marketing analytics experience
• MBA or Master's Degree in an analytic field
• Experience in consumer products, ecommerce, retail, or digital products
• Proficiency in Python, Hive, SAS, or similar programming languages
• Experience with marketing/advertising technologies (e.g., Data Management Platforms, Multi-touch Attribution, Demand Side Platforms, Programmatic Buying, etc.)
• Experience with media mix modeling

Required Education

• Bachelor’s degree with preferred concentration in Business, Marketing, Economics, Statistics, Finance, Industrial Engineering, Operations Research, Data Mining, or similar field

Preferred Education

• MBA or Master's Degree in an analytic field