Global Analytics. Lead the identification and sizing of global executable incremental growth and white space opportunities at both the Franchise/ Property and Category/ Subcategory level utilizing internal POS, market share benchmarking, industry analyst research, and syndicated data sources Drive global retail distribution analytics to identify underpenetrated channel opportunities by region and country. Scorecard and prioritize retailers based on current and future growth potential. Manage aud... more details
Job Description
This role will be responsible for the development of a world-class business analytics models and tools which empowers data-driven decision making and commercial results. Will serve as the key internal expert in building analytics across the Consumer Products and Games organization worldwide in partnership with Retail, Category, Franchise, Product Development, Retail Brand Development, Strategy, Business Development, and Finance teams.
Key Responsibilities:
Global Analytics
Lead the identification and sizing of global executable incremental growth and white space opportunities at both the Franchise/Property and Category/Subcategory level utilizing internal POS, market share benchmarking, industry analyst research, and syndicated data sources
Drive global retail distribution analytics to identify underpenetrated channel opportunities by region and country. Scorecard and prioritize retailers based on current and future growth potential
Manage audience segmentation and shopper cluster analytics based on basket, behavioral, demographic, and psychographic differences to improve product planning, distribution, merchandising, and retail marketing
Develop analysis on longitudinal data sets, A/B and multi-variate testing, for franchise lifecycle, marketing ROI, and content analytics to identify most commercially impactful tactics and improve funding and allocation prioritization process
Technical Model Leadership, Forecasting, and Planning
Build predictive sales forecast models for overall business, franchises, retailers, categories, films and initiatives through triangulation of internal, industry, qualitative intelligence, buyer/licensee sentiment, and publicly available data. Identify upside or downside risks to plan.
Lead creation of complex regression models to correlate wholesale shipment patterns and retail POS sellthrough by franchise, category and retailer in order to predict earned revenues
Manage account annual and 3 year long range plan retail sales budgeting and initiative sizing process by franchise and category, aligning with overall retail and company financial goals, but differentiating based on account specific priorities and outlook. Lead consolidation across accounts teams to ensure consistency in methodologies and outputs.
Reporting and Data Management
Design international weekly account data activation, delivery, ETL, attribution, and restatement processes. Collaborate with internal IT teams and analysts to ensure consistency, completeness, and accuracy to minimize disruptions to downstream reporting and analytics workflows.
Drive centralized development, data visualization design, and distribution of suite of reporting packages and performance recaps with high level insights on trending, key drivers, and contextual comparisons to internal and external benchmarks
Manage new international retailer data onboarding efforts in coordination with external partners including business requirements, integration, and QA testing workflows. Build trust and manage relationships for the long term
Qualifications
10+ years of media/entertainment consumer products analytics experience with knowledge across broad range of categories, industries and retail channels
Strong technical skills with ability to work with large datasets, write complex algorithms, and create multi-input analytic tools from scratch
Expert level experience with domestic and global syndicated data resources (Circana, Nielsen, Kantar, Edge, Euromonitor, etc.) and retailers systems and hierarchies
Excellent understanding of database structures, cloud based systems, data wrangling, cleansing, and organization with experience working with IT teams
Knowledge of practical ML/AI applications in data management and analytics
Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week.
This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website.
Salary range: $110,000 - 130,000 (bonus eligible)
Additional Information
NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. NBCUniversal will consider for employment qualified applicants with criminal histories in a manner consistent with relevant legal requirements, including the City of Los Angeles Fair Chance Initiative For Hiring Ordinance, where applicable.
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