Analyst, Licensing Analytics

The Walt Disney Company•Glendale, CA

9h•$79,400 - $106,400•Onsite

About The Position

Analyst, Licensing Analytics Disney Consumer Products (DCP), part of The Walt Disney Company, brings Disney’s iconic stories and characters to life through innovative partnerships. By collaborating with best-in-class brands, from global industry leaders to emerging innovators, DCP translates storytelling into compelling products that resonate with consumers and drive cultural relevance across the marketplace. About the Role & Team Do you love using data to answer complex questions? Then you may be interested in learning more about the Licensing Analytics team at Disney Consumer Products! Our mission is to put our data assets to work and apply quantitative techniques to discover previously unknown insights about our licensing partners, retailers and consumers. We work directly with the major decision-makers who shape the Disney Consumer Products experience. Through our insights, we help form and improve Disney offerings. This role sits in Glendale, CA and reports to the Manager, Integrated Retail Sales.

Requirements

Must be a service-oriented, problem-solver, quick learner and great teammate/partner.
Experience in compiling, validating, and translating relevant data from multiple sources
Strong analytical and critical thinking skills to piece together different data points
Proven competency in data collection, data mapping / attribution, design, data analysis and data quality control
Time-management skills, with ability to prioritize multiple requests and communicate status to team leaders & partners
Strong written and verbal communication skills, with the ability to communicate complex ideas and develop concise recommendations
Comfort in working in ambiguity to determine the questions that should be answered and the approach and partners needed to get there
Technical proficiency in these data technology subject areas: Data pipeline technologies and ETL tools and languages such as SQL, SSIS, Knime, Alteryx, Tableau Prep
Database technologies such as Snowflake, SQL Server
Data Visualization and Consumption Tools such as Tableau, Microstrategy, Power BI, Business Objects
Data warehouse and data lake architecture
Scripting languages such as Snowscript, Javascript, VBA, Python

Nice To Haves

Experience working with large scale retail systems data
Experience working with cloud platforms/technologies
Experience with machine learning

Responsibilities

Develop and facilitate analysis linked to owned retail and licensee data enhanced through industry insights.
Facilitate analyses and projects across cross-functional teams with collaboration across data partners.
Support for financial forecast, evaluation of theatrical performance, sizing campaign ROI and ad-hoc analysis socialized with senior executives.
Support the Retail & Marketing organization develop the right strategies to drive demand and focus on discovering and translating insights to identify opportunities, pitch partners, forecast sales, plan activations, inform business decisions and measure the effectiveness of strategies.
Identify appropriate external data sources, reconciling data sets, identifying proxies, and clearly communicating the assumptions behind the analysis.
Leverage data to support retail & marketing | commercial decision-making.
Convert freeform ideas into structured solutions.
Partner with data scientists & technology partners to link the right data assets to the proper analytical techniques to provide solutions.
Create compelling dashboards and intelligence tools to enable ease of interpretation of commercial performance metrics.
Code the backend processes to quickly access needed data and develop decks that synthesizes complex data into a compelling story.
Analyze performance to determine actionable insights and transforming those insights into a story that helps our partners drive what happens next.
Collaborate across partner teams to consolidate a synthesized conclusion of findings and recommendations.
Benchmark industry to provide new perspectives and fresh options to consider and test.
Build compelling decks and presentations that can be used in senior executive forums.
Groom a backlog of ongoing requests for data discovery and insight.
Research new ways to solve commercial questions using data and analysis.
Be willing to be flexible with changing business needs and adaptable with work requests.