Location: San Diego

Compensation: $140,000 annually, depending on experience, skills, and qualifications + performance-based bonuses

Benefits: Comprehensive health benefits, 401(k), professional development, and travel opportunities for industry trade shows.

We are looking for an E-Commerce Analytics Lead to lead our analytics services team, developing end-to-end analytics solutions for brands operating across Amazon, Walmart, and other major e-commerce channels using the Intentwise technology platform.

This person will work directly with brands to define their analytics roadmap and solve complex business questions across retail, advertising, shopper behavior, and cross-channel performance. Projects will range from custom dashboards and performance analytics to advanced use cases such as incrementality measurement, customer lifetime value analysis, forecasting, attribution, and Marketing Mix Modeling (MMM).

The ideal candidate combines strong analytics expertise with deep knowledge of Amazon, Walmart, e-commerce, and retail media data. They should understand how brands operate across marketplaces and be comfortable working with datasets spanning retail performance, advertising, shopper behavior, and first-party data.

Hands-on experience with Amazon Marketing Cloud (AMC) is particularly important.

What You’ll Do

• Lead Intentwise’s analytics services team
• Partner directly with brands to identify business questions, analytics priorities, and opportunities across Amazon, Walmart, and broader e-commerce
• Develop analytics roadmaps spanning retail performance, advertising effectiveness, shopper insights, and cross-channel measurement
• Design and deliver custom dashboards, reporting solutions, AMC analyses, and advanced analytics projects
• Help brands connect fragmented marketplace, advertising, and first-party data to answer complex business questions
• Develop analyses around areas such as incrementality, customer lifetime value, new-to-brand acquisition, repeat purchase behavior, attribution, forecasting, and MMM
• Work closely with Intentwise teams across Product, Customer Success, and Sales to connect analytics services with the Intentwise platform
• Present insights, recommendations, and strategic implications to senior client stakeholders

Preferred Qualifications

• Significant experience working directly with brands, agencies, or major e-commerce businesses
• Strong data analytics background
• Deep familiarity with Amazon and/or Walmart marketplace and retail media ecosystems
• Hands-on knowledge of Amazon Marketing Cloud is required
• Experience working with Amazon retail, advertising, shopper, and marketplace data
• Experience with Walmart Marketplace and Walmart Connect data is strongly preferred
• Strong understanding of e-commerce and retail media measurement
• Experience with advanced analytics such as incrementality, customer lifetime value, attribution, MMM, or forecasting
• Familiarity with SQL, BI tools, cloud data environments, and modern AI-powered analytics workflows is preferred
• Ability to translate complex datasets and analyses into clear business recommendations for senior stakeholders

Why Join Intentwise?

At Intentwise, we’re building the data and intelligence foundation for brands and agencies operating across Amazon, Walmart, and the broader e-commerce ecosystem.

Marketplace data is highly fragmented across retail, advertising, shopper, competitive, and first-party data sources. Intentwise brings these datasets together to help brands understand what is happening, why it is happening, and what they should do next.

You’ll work alongside a team helping some of the world’s leading brands and agencies build more sophisticated analytics capabilities and make better decisions using commerce data and AI.

What You’ll Get

• The opportunity to work with cutting-edge Amazon, Walmart, retail media, and e-commerce datasets
• Exposure to sophisticated analytics challenges across leading brands and agencies
• Hands-on experience with AMC, marketplace data, first-party data, and advanced measurement
• The opportunity to help shape how brands use AI and analytics to understand and operate their e-commerce businesses
• A collaborative, innovative, and learning-focused culture
• The ability to influence product strategy and customer success at a rapidly growing company
• Competitive compensation, benefits, and growth opportunities