Orchestrate Growth: Support the Commercial organization to develop the right strategies to drive brand and product demand, and focus on discovering and translating insights to identify opportunities, pitch partners, forecast sales, plan activations, and inform marketing decisions.
Drive Purpose: Rally, inspire and align the Licensing Intelligence organization through strategy, a
Data Experts: Leverage and empower a team of data scientists to link the right data assets to the proper analytical techniques to provide solutions.
Data Coders, Visualizers & Storytellers: Use knowledge of visualization techniques to create compelling dashboards and intelligence tools to enable ease of interpretation of commercial performance metrics. This involves coding backend processes to quickly access needed data and developing decks that synthesize complex data into a compelling story.
Measure Market-Share and Identify Gaps and Whitespace: Use strategic expertise to transform data into actionable insights that drive innovation and identify new revenue opportunities.
Sophisticated Retail Channel Knowledge: Ability to identify and anticipate consumer, product, and brand opportunities at the retail channel and/or retail-level based on specific channel needs, strategies, and economic dynamics.
You will also:
Promote a collective and collaborative approach on business & customer insight, foster data sharing and KPI alignment, and be an active leader of data stewardship and governance.
Lead analytics and experience forums that aggregate multiple analytical sources into a synthesized perspective. Align with partner teams to understand gaps and create solution-oriented findings and recommendations.
Job Requirements
10+ years of experience in analytical roles and experience leading an analytics team in multiple markets
Proven ability to manage a large volume of complex work effectively and efficiently, prioritizing continually to ensure business results are achieved
Demonstrated business acumen working with P&L and annual operating plans
Creative, passionate and innovative thinker – excited about the possibilities of the future with the ability to drive pragmatic risk-taking
Experience leading the lifecycle of analytic products; from requirements gathering to data acquisition to presentation of results, and automation (where applicable)
Ability to draw inferences, quantify uncertainty and limitations of analysis
Time-management skills, with ability to prioritize multiple requests and communicate status to partners
Strong written and verbal communication skills, with the ability to communicate complex ideas and develop concise recommendations
Proven track record of successfully navigating diverse business landscapes and delivering analytics solutions across multiple markets with international experience preferred
Demonstrated relationship skills, comfortable with influencing peers and executives
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
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 – Preferred
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