Helenoftroy
Sr. Manager, Category Strategy & Insights - Amazon
USA - New York, New York · Senior · Full-time
Work authorization required$114k-$143kDetected 30 days ago
FlaskSQLData VisualizationStatisticsExcelHRLeadershipCollaborationMicrosoft Office
About the role
- Our innovative products and solutions promote healthy living, elevating the lives of consumers every day.
- Look around your home, and you'll find us everywhere, in your kitchen, living room, bedroom, and bathroom.
- For roles eligible for hybrid work, our standard schedule includes in-office collaboration from Tuesday through Thursday, with the option to work remotely on Mondays and Fridays.
Responsibilities
- Ability to lead and collaborate cross‑functionally across Sales, Marketing, Media, and Analytics teams.
- Strong organizational and time‑management skills to manage multiple priorities in a fast‑paced environment.
- At Helen of Troy, our strategy involves acquiring brands that we can integrate and enhance, amplifying their unique attributes to drive growth and profitability.
Requirements
- Bachelor's degree in marketing, Business, or Quantitative Field (Computer Science, Applied Math, Economics, Statistics, Analytics, etc.,).
- 5+ years of experience in Consumer-Packaged Goods (CPG), eCommerce, or omnichannel retail, with direct exposure to Amazon category dynamics.
- 5+ years of experience in a combination of Category Management, Analytics, Strategy, or Sales with demonstrated experience leading analytical-driven category or growth initiatives.
- Experience with data visualization tools such as Power BI or Tableau.
- Experience working with Amazon data, performance metrics, and platform-level reporting.
- Advanced proficiency in Excel and PowerPoint for analysis, reporting, and executive‑ready storytelling.
- Hands-on experience with Amazon platforms and tools, including Vendor/Seller Central, Brand Analytics.
- Experience with eCommerce data and digital shelf tools such as Profitero/Stackline/Edge or equivalent.
- They are not intended to be construed as an exhaustive list of all responsibilities and duties required of personnel so classified.
Nice to have
- Master of Business Administration or Business Analytics.
- Familiarity with retail media metrics and performance measurement within the Amazon ecosystem.
- Experience with syndicated data tools such as Nielsen or Circana.
- Working knowledge of SQL and/or experience querying large datasets.
- Experience working with Microsoft CoPilot, or other Large Language AI Models
- The range listed is just one component of the total compensation package for employees.
Skills
- Ability to translate analysis into clear, actionable recommendations that influence strategy and decisions.
- Strong strategic thinking skills with the ability to evaluate tradeoffs and prioritize category opportunities.
- Strong verbal, written, and presentation skills, including experience communicating with senior stakeholders.
- Ability to analyze, interpret, and synthesize complex datasets into actionable business insights.
- Present insights and strategic recommendations to internal leadership and Amazon stakeholders through compelling data‑driven storytelling.
Compensation
- In New York, the standard base pay range for this role is $114,000.00- $143,000.00 annually.
Company info
- We value diversity and believe that we are strengthened by the differences in our experiences, thoughts, cultures, and backgrounds.
- Founded in 1968, Helen of Troy is a prominent player in the global consumer products industry, offering diverse career opportunities across North America, South America, Europe, and Asia.
Equal opportunity
- Equal Opportunity/Affirmative Action Employer.
- We are committed to developing a diverse workforce and cultivating an inclusive environment.
- If you would like to request an accommodation, please contact Human Resources at (915) 225-8000.
Visa & Work Authorization
- Authorized to work in the United States on a full-time basis.
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This listing is sourced directly from Helenoftroy's careers page and normalized into a canonical job model.