Analytics Consultant, Analytics & Insights, Amazon Ads

Overview

In this role, you will act as the analytics and insights expert for advertisers, partnering with sales, product, and retail teams to optimize investments on Amazon. You will leverage Amazon’s data, third-party research, and measurement solutions to deliver actionable insights and data-driven media strategies. You’ll influence decision-makers and help scale insights across categories and locales using AI-native approaches. This is a collaborative, cross-functional role focused on driving value for advertisers and shaping measurement capabilities.

Responsibilities

• Establish relationships with senior marketing decision-makers and serve as the go-to expert in advanced analytical areas of advertising
• Leverage proprietary data, third-party research, and measurement solutions to generate actionable insights
• Develop expertise in Amazon’s proprietary metrics and evolve how data-driven insights are analyzed and communicated
• Advocate for data-driven decision-making and guide advertisers to implement recommended solutions
• Produce internal documents with strategic recommendations influencing product direction and internal processes
• Scale analyses to other categories or locales using AI-native solutions
• Participate in customer meetings and contribute to sales-led events and cross-functional pilots

Key requirements

• Bachelors degree in a related field
• Experience in advanced SQL with complex queries from multiple tables
• Experience in customer segmentation, customer behavior analysis, and data science modeling using Python
• Experience in advertising measurement methodologies (incrementality, MMM, media attribution)
• Experience in a customer-facing role translating analyses for both technical and non-technical stakeholders
• Experience leveraging GenAI to innovate solutions or improve workflows
• Excellent communication and stakeholder management in a cross-functional environment
• Strong communication with senior stakeholders
• Collaborative and proactive approach
• Analytical mindset with ability to translate data into actionable guidance
• SQL (advanced), Python for data science modeling
• Advertising measurement methodologies (incrementality, MMM, attribution)
• GenAI responsibly to innovate solutions

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