Senior Analytics Engineer, Marketing

Job Description

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview The Marketing Enablement & Technology (MET) team sits natively within Instacart's Marketing organization owning the data foundations that power Paid Marketing, SEO, and Retailer Marketing attribution. These datasets directly inform how we allocate hundreds of millions of dollars in marketing spend and how we measure growth. We're hiring a Senior Analytics Engineer to own and evolve the marketing analytics data foundation. In this role, you'll design high-quality, business-aware data models that Data Scientists and Analysts trust, while also providing technical leadership across marketing data modeling—setting standards, guiding execution, and raising the bar for how data is built, tested, documented, and delivered. About the Job Analytics Data Modeling: Design, build, and maintain high-quality dimensional and semantic data models using dbt that support marketing analytics across Paid Marketing, SEO, Retailer Marketing, and attribution. Cross-functional Partnership: Work closely with Data Scientists, Analysts, and Marketing stakeholders to understand analytical needs, translate business questions into data requirements, and deliver trusted, decision-ready data assets. Metrics & Definitions Ownership: Lead efforts in metric definition, business logic standardization, testing, and documentation to ensure consistent, trusted reporting across marketing. Technical Leadership: Set standards for an

Required Skills