Senior Manager, Insights, Amazon Focus

Responsibilities

• Partner with Client Leads and Commerce Leads to understand client objectives, performance questions, strategic moments, and analytical priorities.
• Support Client and Commerce Leads with accurate data narratives, technical explanations, reporting, and client-ready recommendations.
• Partner with Commerce Media and Commerce Operations teams to ensure insights inform planning, optimization, investment, and retail decisions.
• Join client discussions, business reviews, and technical readouts when specialized Commerce expertise is needed.
• Identify recurring analytical needs, risks, and growth opportunities that should be addressed through stronger analysis, testing, reporting, or measurement.
• Use Amazon Marketing Cloud, Amazon Advertising, Vendor Central, BI tools, dashboards, and relevant Commerce data environments to support insight generation and decision-making.
• Build AMC queries and analyses across audiences, campaign performance, new-to-brand outcomes, path-to-purchase behavior, and other custom client questions.
• Maintain working expertise in Amazon platform capabilities, retail data, and relevant Commerce environments such as Walmart Connect and Scintilla.
• Identify opportunities to improve reporting, dashboarding, documentation, automation, and Commerce insight-delivery workflows.
• Use approved AI and automation tools thoughtfully to improve data interrogation, pattern detection, and efficiency while validating outputs rigorously.

Requirements

• 7-9 years of experience in Commerce analytics, retail media, e-commerce analytics, marketing analytics, business intelligence, or a related field.
• Strong hands-on experience with Amazon Marketing Cloud, including SQL querying, audience analysis, campaign analysis, and custom analytical approaches.
• Strong experience with Amazon Advertising and Amazon retail data, including Sponsored Ads, Amazon DSP, Vendor Central, and related Commerce performance metrics.
• Strong SQL proficiency and experience with BI/visualization tools such as Tableau, Power BI, Looker Studio, or similar.
• Strong understanding of Commerce measurement, including new-to-brand, share of voice, market share, product-level performance, total sales, forecasting, testing, and incrementality concepts.
• Practical Python and/or R experience is preferred, particularly for custom analysis, forecasting, exploratory work, or lightweight modeling.
• Strong data storytelling, documentation, quality-control, organization, and cross-functional collaboration skills.
• Experience supporting Client Leads and Commerce account teams; direct client-facing experience is helpful but not the primary requirement.
• Comfort using AI to o ls responsibly to improve analytical efficiency and insight generation.