Associate Shopper & Category Insights Advisor – Amazon; Beauty & Wellbeing & Personal Care

Associate Shopper & Category Insights Advisor – Amazon (Personal Care and Beauty & Wellbeing)

The Associate Shopper & Category Insights Advisor for Amazon supports Unilever’s partnership with its fastest‑growing retailer by delivering shopper and category‑led insights that inform Amazon strategy across Beauty & Wellbeing and Personal Care. The role translates Amazon shopper behavior, category dynamics, and research findings into clear actions that shape strategy and customer conversations.

This role is ideal for a strong analytical thinker and storyteller who is energized by Amazon and fast‑moving retail environments, naturally curious about shoppers, and comfortable working hands on with data and research. Success requires connecting shopper behavior and category performance to deliver clear, compelling insights that inform decision‑making.

Working closely with the Senior Category Strategy Advisor, the Associate Advisor contributes to insight‑driven thinking and category growth strategies on Amazon, supporting internal planning and select external customer discussions. In addition to leveraging existing data sources, this role supports the design and execution of qualitative and quantitative learning to answer key Amazon‑specific shopper and category questions. As Amazon continues to play an increasingly important role within the organization, this position offers growing visibility and impact, exposure to cross‑functional teams, and the opportunity to build deep expertise in Amazon’s ecosystem.

• Analyze Amazon shopper behavior, path‑to‑purchase dynamics, and category performance across Beauty & Wellbeing and Personal Care to generate clear, actionable insights.
• Leverage Amazon‑specific, national, syndicated, and internal data sources to identify patterns, gaps, and growth opportunities relevant to the Amazon ecosystem.
• Support the development and execution of qualitative and quantitative research to address key shopper, category, and portfolio questions (e.g., shopper needs, decision drivers, discovery behaviors, and barriers).
• Translate business questions into appropriate research approaches, partnering with internal teams or external vendors as needed to ensure the right methods are applied.
• Synthesize learning across multiple inputs including POS data, panel data, surveys, qualitative learning, and desk research to build a cohesive, insight‑led point of view.
• Translate complex data and research findings into concise narratives and integrated category growth stories that connect shopper needs, category dynamics, and commercial opportunities.
• Monitor competitive activity, innovation, and assortment shifts across Amazon Beauty categories to inform near‑term decisions and longer‑term category direction.
• Identify emerging trends in Amazon shopper behavior through data analysis, research, and marketplace observation to support portfolio strategy and future‑focused thinking.
• Build strong working knowledge of Amazon’s ecosystem, including search, assortment, taxonomy, and key traffic and conversion drivers.
• Collaborate closely with Amazon CD, Shopper Marketing, Content, Media, CS& P, Data & Analytics, and Consumer Market Insights teams to embed insights into planning, strategy discussions, and customer‑facing forums.
• Develop clear, compelling insight deliverables (e.g., presentations, summaries, POVs) that effectively influence internal and select external decision‑making.

Bachelor’s degree required

• 3-6 years of experience in consumer or shopper insights, category management, analytics, eCommerce, or related CPG/retail roles
• Hands‑on experience using syndicated POS and shopper data (e.g., Circana, Numerator) to generate actionable insights
• Ability to quickly upskill in Amazon‑specific tools and performance platforms (e.g., Stackline, Vendor Central, internal analytics tools)
• Strong grounding in quantitative and qualitative research methods, with experience helping define learning objectives, selecting appropriate methodologies, and translating findings into actionable insights
• Experience supporting or executing custom research (e.g., surveys,…