Analyst, Licensing Analytics

The Walt Disney Company•Glendale, CA

2d•$79,400 - $106,400•Onsite

About The Position

The Licensing Analytics team at Disney Consumer Products (DCP) uses data and quantitative techniques to uncover insights about licensing partners, retailers, and consumers. This role supports decision-makers who shape the Disney Consumer Products experience by informing and improving Disney offerings. The team works with owned retail and licensee data, enhanced by industry insights, and collaborates with cross-functional teams and data partners. Responsibilities include supporting financial forecasts, evaluating theatrical performance, sizing campaign ROI, and conducting ad-hoc analyses for senior executives.

Requirements

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 data pipeline technologies and ETL tools and languages such as SQL, SSIS, Knime, Alteryx, Tableau Prep.
Technical proficiency in database technologies such as Snowflake, SQL Server.
Technical proficiency in data visualization and consumption tools such as Tableau, Microstrategy, Power BI, Business Objects.
Technical proficiency in data warehouse and data lake architecture.
Technical proficiency in 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 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, reconcile data sets, identify proxies, and clearly communicate 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.
Use knowledge of visualization techniques to create compelling dashboards and intelligence tools to enable ease of interpretation of commercial performance metrics.
Code backend processes to quickly access needed data and develop decks that synthesize complex data into a compelling story.
Analyze performance to determine actionable insights and transform those insights into a story that helps 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.