Sr. Manager, Category Strategy & Insights - Amazon
Listed on 2026-06-17
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IT/Tech
Data Analyst, Ecommerce, Business Systems/ Tech Analyst, Data Mining
Position
Sr. Manager, Category Strategy & Insights - Amazon
DepartmentOXO
Work LocationNew York, NY, Hybrid (work 3 days onsite)
Hybrid ScheduleAt Helen of Troy, we embrace a flexible hybrid work model designed to support collaboration and productivity. 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. Any updates to this model will be communicated in advance. Hybrid eligibility and schedules may vary based on business needs and manager expectations.
Whatyou will be doing
The Senior Manager of Category Strategy & Insights owns the company’s Amazon category intelligence capability, shaping category strategy through advanced analytics and data‑driven insights. This role partners closely with Amazon Sales, Brand Marketing, and Retail Media teams to guide business decisions by translating complex data into clear, actionable recommendations. The ideal candidate brings deep Amazon expertise, strong analytical rigor, and collaborative leadership to influence decisions across the digital shelf.
Serving as a trusted advisor, this individual enables internal teams and Amazon stakeholders to make confident, data‑backed decisions to drive long‑term growth.
- Own the company’s Amazon category intelligence capability, serving as a trusted source of data‑driven insights and strategic guidance.
- Collaborate with Sales, Brand Marketing, and Retail Media teams to lead category performance assessments, address key business questions, and align cross‑functional priorities across the Amazon digital shelf.
- Deliver integrated consumer, category, and Amazon performance insights to inform strategic decisions, shape category priorities, and guide long‑term growth.
- Proactively develop and apply advanced analytics using Amazon data sources and eCommerce tools (e.g., Vendor/Seller Central, Amazon Brand Analytics, Profitero Digital Shelf, and Media Analytics) to surface opportunities, diagnose performance risks, and assess tradeoffs.
- Translate complex Amazon datasets into clear, actionable recommendations, connecting insights to commercial outcomes such as conversion, share, availability, and profitability.
- Present insights and strategic recommendations to internal leadership and Amazon stakeholders through compelling data‑driven storytelling.
- Build strong internal relationships to elevate category thinking, accelerate execution, and reinforce best practices across the Amazon digital shelf.
- Own the development and standardization of Amazon category reporting, dashboards, and analytical projects to enable faster, more confident decisions across teams.
- Own the maintenance of Amazon and eCommerce analytical tools, including Profitero category definitions, Amazon item hierarchies, and future data connectivity initiatives.
- 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 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.
- Ability to analyze, interpret, and synthesize complex datasets into actionable business insights.
- Bachelor’s degree in marketing, Business, or Quantitative Field (Computer Science, Applied Math, Economics, Statistics, Analytics, etc.).
- Prior experience working directly with Amazon, either at Amazon or in a vendor, seller, or agency-based role.
- 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…
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