Analyst, Licensing Analytics
About The Position
The Analyst, Licensing Analytics is part of the Americas Licensing Analytics team at Disney Consumer Products. The team applies quantitative techniques to licensing partner, retailer, and consumer data to generate insights that inform and improve Disney offerings. The role is based in Glendale, California, and reports to the Manager, Integrated Retail Sales. The analyst develops and facilitates analysis using owned retail and licensee data enhanced by industry insights, and supports cross-functional analyses and projects in collaboration with data partners. Work includes supporting financial forecasts, evaluating theatrical performance, sizing campaign return on investment, and preparing ad hoc analysis for senior executives. The position supports retail and marketing strategies, identifies opportunities, informs business decisions, and measures strategy effectiveness. It also involves working with incomplete or inconsistent data, finding external sources and proxies, documenting assumptions, and collaborating with data science and technology partners to develop analytical solutions. The analyst uses visualization and data tools to create dashboards, intelligence tools, and presentations that make commercial performance understandable and actionable. The role also involves consolidating findings and recommendations across partner teams, benchmarking industry practices, managing a backlog of data discovery requests, and adapting to changing business needs.
Requirements
- Be service-oriented, resourceful in problem-solving, a quick learner, and an effective teammate and partner.
- Experience compiling, validating, and translating relevant data from multiple sources.
- Strong analytical and critical-thinking skills to connect different data points.
- Competency in data collection, data mapping and attribution, design, data analysis, and data quality control.
- Time-management skills and ability to prioritize multiple requests and communicate status to team leaders and partners.
- Strong written and verbal communication skills, including communicating complex ideas and developing concise recommendations.
- Comfort working in ambiguity to determine questions, approaches, and necessary partners.
- Technical proficiency with data pipeline technologies and ETL tools or languages such as SQL, SSIS, Knime, Alteryx, and Tableau Prep.
- Technical proficiency with database technologies such as Snowflake and SQL Server.
- Technical proficiency with data visualization and consumption tools such as Tableau, Microstrategy, Power BI, and Business Objects.
- Knowledge of data warehouse and data lake architecture.
Nice To Haves
- Proficiency with scripting languages such as Snowscript, Javascript, VBA, or Python.
- Experience working with large-scale retail systems data.
- Experience working with cloud platforms or technologies.
- Experience with machine learning.
- Bachelor’s degree in Math, Statistics, Computer Science, Engineering, or Business, or relevant work experience.
Responsibilities
- Develop and facilitate analysis of owned retail and licensee data, enhanced with industry insights.
- Support financial forecasts, evaluate theatrical performance, size campaign ROI, and conduct ad hoc analysis for senior executives.
- Support retail and marketing strategies by identifying opportunities, pitching partners, forecasting sales, planning activations, informing decisions, and measuring effectiveness.
- Identify appropriate external data sources, reconcile datasets, identify proxies, and communicate analysis assumptions.
- Partner with data scientists and technology partners to connect data assets with appropriate analytical techniques and solutions.
- Develop dashboards and intelligence tools to make commercial performance metrics easier to interpret, including coding backend processes to access data.
- Analyze performance, identify actionable insights, and communicate findings as a story that helps partners determine next steps.
- Collaborate across partner teams to consolidate findings and recommendations.
- Benchmark the industry to provide new perspectives and options to consider and test.
- Build presentations for senior executive forums.
- Manage a backlog of data discovery and insight requests, including researching data-based approaches to commercial questions.
- Adapt to changing business needs and work requests.
Benefits
- Health and savings benefits.
- Educational opportunities.
- Special extras offered by Disney.
- Medical and financial benefits.
- A bonus and/or long-term incentive units may be provided, depending on the level and position offered.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
