Careers at MGA Entertainment

Sr. Replenishment and Forecasting Specialist

Requisition ID: 9202164125232_1
Location: Bentonville, AR, US
Date posted: Jun 21, 2024

Company Summary: MGA Entertainment, a consumer entertainment Products Company headquartered in Van Nuys, California, manufactures innovative lines of proprietary products for the toy and consumer electronics market.  The company also licenses its IP in such areas as home décor, stationery and sporting goods. The MGA family includes award-winning brands such as Little Tikes®, Lalaloopsy™, Num Noms, Project Mc2, LOL, and Zapf Creation®. For more information please visit

Position Summary: MGA Entertainment is seeking a Sr. Replenishment and Forecasting Specialist for the Target business.  The Sr. Replenishment and Forecasting Specialist pulls and analyzes sales, forecast, and order data and makes business recommendations to help leadership understand the flows of this fast-growing business. The ideal candidate will have a strong ability to create complex models using multiple datasets and will have the ability to make meaningful business recommendations through extensive analysis. 

Key Result Areas

Time Utilization




Data modeling

Pull and analyze data including Sales, Replenishment and Allocations

Trend analysis and recommendations 






Position Requirements


  • Bachelor’s degree in Finance, Mathematics or a similar technical field. 
  • 4 + years’ related experience – Point of Sale Forecasting preferred
  • Solid years of experience in a highly analytical environment in which complex modelling and analysis is performed.
  • PBI experience preferred
  • Replenishment Experience preferred


  • Ability to build and manage models for business forecasting, variance analysis, and problem solving.
  • Strong organization and time management skills.
  • Must be very detail-oriented and meticulous in the follow through of documentation, processes, and procedures.
  • High aptitude and enthusiasm for complex strategic problem solving utilizing financial modeling and analysis.
  • Expereince utilizing advanced data analytics tools to provide insight regarding item, brand performance across stores and ecommerce channels.  
  • Strong capabilities for developing and presenting analyses and insights.
  • Advanced Excel skills and strong ability to create large models and quality check results.
  • Strong influencing skills including strong ability to work with forecasting, planning, allocations, supply chain planning and other cross-functional teams. 
  • Strong business acumen and ability to work quickly, accurately, and effectively under pressure. 
  • Ability to interact with upper management and influence decisions by presenting persuasive information.
  • Monitoring and analyzing competitive activity, customer, and market trends.
  • Providing actionable insights to guide the sales and marketing teams.
  • Contributing to the development of sales plans and objectives.
  • Monitoring and evaluating sales performance and Replenishment KPI’s
  • Determining sales potential and making recommendations.

AuthorityPosition reports to the Director of Demand Planning  

Key Result Areas and Activities:

Work across functions and with multi-disciplinary teams, stakeholders and users to identify, understand and clearly define and solving business strategy, objectives, processes, challenges and problems for the Collectibles business. 


Data modeling

  1. Develop and validate operations forecasting models and tools for the collectibles business that has multiple waves, countries to supply to and skus.
  2. Develop scalable and efficient methods for complex data analyses and model development and deployment.


Pull data for supply chain, allocations, forecast and sales orders.

  1. Identify data needs and proper methods for data gathering, integration and preparation, data quality and data governance for the Collectibles business. 
  2. Conduct ad hoc analyses on specific areas of the operation including (supply chain, allocations, forecast and sales orders).
  3. Invent and quickly iterate novel solutions to challenging data-related problems.


Trend analysis and recommendations 

  1. Deliver and communicate status and results to internal stakeholders and users at all levels of the organization through reports, presentations and other means.
  2. Develop reporting and analysis to measure the effectiveness of problem solving within the supply chain, allocations, forecast and sales data/processes; make data driven recommendations that optimize performance.
  3. Translate analysis results and modeling outcome into understandable and actionable business knowledge; effectively and clearly present findings.