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 position is based in Glendale, CA.

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.

Nice To Haves

Experience working with large scale retail systems data.
Experience working with cloud platforms/technologies.
Experience with machine learning.
Python (as a scripting language).

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 forecasts, evaluate theatrical performance, size campaign ROI, and conduct ad-hoc analysis for senior executives.
Support the Retail & Marketing organization in developing strategies to drive demand, identify opportunities, pitch partners, forecast sales, plan activations, inform business decisions, and measure strategy effectiveness.
Identify appropriate external data sources, reconcile data sets, identify proxies, and communicate assumptions behind analyses.
Leverage data to support retail & marketing | commercial decision-making by converting freeform ideas into structured solutions.
Partner with data scientists & technology partners to link data assets to analytical techniques.
Create compelling dashboards and intelligence tools using visualization techniques to interpret commercial performance metrics.
Code backend processes for quick data access and develop presentations that synthesize complex data into a compelling story.
Analyze performance to determine actionable insights and transform them into stories that help partners drive future actions.
Collaborate across partner teams to consolidate findings and recommendations.
Benchmark industry to provide new perspectives and options.
Build compelling decks and presentations for senior executive forums.
Groom a backlog of ongoing requests for data discovery and insight, researching new ways to solve commercial questions using data and analysis.
Be flexible with changing business needs and adaptable with work requests.