Sr Sales Forecasting Analyst - Amazon

Department: Marketing

Sr Sales Forecasting Analyst - Amazon

At Hamilton Beach Brands, Inc., a leading designer, marketer and distributor of small household and commercial appliances, our culture is one of hard work, ethical behavior and teamwork.  We roll up our sleeves and work hard to create products that have been pleasing customers for over 100 years.  We offer a comprehensive compensation and benefits package which includes health, dental and vision insurances, along with 401(k) and profit sharing,  paid vacation, charitable time off, “summer hours” which is a great opportunity for long weekends all summer long, a quarterly subsidy to help cover the costs associated with staying fit, paid Parental Leave, the ability to purchase our products at a discounted rate, employee recognition, team building activities, a casual dress code, and flexible hours just to name a few of the advantages of working for this dynamic company.

Are you entrepreneurial, analytical, and interested in being a part of a global eCommerce leader? Are you seeking a challenging role that will give you broad exposure across the organization?  Then we are looking for you to join our team at Hamilton Beach!

Our team is accountable for growing Amazon sales for Hamilton Beach products and we are seeking qualified candidates for a Sr Sales Forecasting Analyst opportunity at our Corporate Headquarters in Glen Allen, Virginia.  This position is responsible for driving the analysis, reporting and business recommendations via cross-functional collaboration.

The responsibilities of the position include:

  • Builds, develops, maintains, and analyzes the Amazon forecast
  • Develops and achieves buy-in from sales team and other stakeholders on an item level forecast
  • Analyzes and plans promotional forecasts
  • Provides internal reporting to support the forecast and gain consensus between stakeholders
  • Analyzes and reports forecast results (consumption, accuracy and root cause for error)
  • Performs forecast change analysis
  • Utilizes knowledge of statistical forecasting techniques including time-series, linear regression and executes forecasting processes that includes model calibration
  • Assists the sales team by providing and ensuring understanding of sales and performance analysis through reports and insights
  • Communicates operational and supply chain needs internally
  • Daily contact for internal operations
  • Performs other responsibilities
  • as required for the job

Requirements of the position include: 

  • A bachelor’s degree in Business Analytics or related field
  • 2+ years Amazon experience (sales, operations); Amazon FBA experience is preferred
  • Strong working knowledge of Microsoft Office products
  • Demonstrated ability for excellent attention to detail
  • Demonstrated ability to manage multiple assignments with little supervision
  • Excellent written follow-up
  • Ability to meet deadlines

At our core, team members are strong in both quantitative and qualitative analysis, thrive in fast-paced environments, and are seeking an opportunity where they can have an immediate impact on critical business decisions.  Sr Sales Forecasting Analysts are strong communicators with solid business acumen who are eager to learn, are endlessly curious, and take pride in hard work.

Our employees enjoy working in a tobacco-free and drug-free environment.   We do not consider candidates who use tobacco products.  Hamilton Beach Brands, Inc. is committed to hiring and retaining a diverse workforce.  We are an Equal Opportunity/Affirmative Action Employer, making decisions without regard to race, color, religion, creed, gender, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. Our company uses E-Verify to confirm the employment eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit

If you are interested and qualified for this role, please apply here:



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