Forecasting Analyst - Amazon.ca Sales Team

About the role

Mattel is a leading global toy and family entertainment company and owner of one of the most iconic brand portfolios in the world. We engage consumers and fans through our franchise brands, including Barbie, Hot Wheels, Fisher-Price, American Girl, Thomas & Friends, UNO, Masters of the Universe, Matchbox, Monster High, MEGA and Polly Pocket, as well as other popular properties that we own or license in partnership with global entertainment companies. Our offerings include toys, content, consumer products, digital and live experiences. Our products are sold in collaboration with the world's leading retail and ecommerce companies. Since its founding in 1945, Mattel is proud to be a trusted partner in empowering generations to explore the wonder of childhood and reach their full potential. Mattel's award-winning workplace culture has been recognized by Forbes, Fast Company, Newsweek, Great Place to Work, TIME, and more. Visit us at https://jobs.mattel.com/ and www.instagram.com/MattelCareers . Mattel is an Equal Opportunity Employer where we want you to bring your authentic self to work every day. We welcome all job seekers, and all applicants will receive consideration for employment without regard to race, ethnicity, color, national origin, religion, sex, gender, gender identity or expression, sexual orientation, veteran and protected veteran status, disability status, and or any other basis protected by applicable federal, state or local law. Pursuant to the Los Angeles Fair Chance Ordinance and the California Fair Chance Act, qualified applicants with arrest or conviction records will be considered for employment. Videos to watch: The Culture at Mattel Corporate Philanthropy

Requirements

• 3-5 years of experience in forecasting, demand planning, or analytics
• Strong analytical skills with experience managing large SKU portfolios (500-1000+) and translating data into actionable insights
• Experience with statistical forecasting and retail/customer replenishment processes
• Familiarity with Amazon Vendor Central, Cognos, or similar tools (preferred)
• Excellent communication, organization, and cross-functional collaboration skills in fast-paced environments
• How We Work:
• We are a purpose driven company aiming to empower generations to explore the wonder of childhood and reach their full potential. We live up to our purpose employing the following behaviors:
• We collaborate: Being a part of Mattel means being part of one team with shared values and common goals. Every person counts and working closely together always brings better results. Partnership is our process and our collective capabilities is our superpower.
• We innovate: At Mattel we always aim to find new and better ways to create innovative products and experiences. No matter where you work in the organization, you can always make a difference and have real impact. We welcome new ideas and value new initiatives that challenge conventional thinking.
• We execute: We are a performance-driven company. We strive for excellence and are focused on pursuing best-in-class outcomes. We believe in accountability and ownership and know that our people are at their best when they are empowered to create and deliver results.

Benefits

Additional Information

What Your Impact Will Be: Own item-level forecasts and monthly shipment plans aligned to consumer demand and business constraints Build and refine forecasting models using POS trends, seasonality, promotions, and product history Drive forecast accuracy: measure performance, identify root causes, and implement improvements Lead forecasting discussions in Amazon Joint Business Planning meetings; present insights and action plans Partner with Sales and Amazon teams on in-season execution, promotions, and order decisions (chase/cancel) Manage replenishment and PO flow; recommend domestic and import orders Monitor and improve key metrics (in-stock, weeks of cover, fill rate) Act as liaison across customer service, supply planning, and allocation teams Deliver clear, actionable analytics to support business decisions

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