About the job
Join Us in Revolutionizing the Grocery Industry
At Instacart, we believe in the power of food to bring people together. Our mission is to ensure everyone has access to the groceries they love and more time to enjoy meaningful moments. While some see grocery delivery as a simple task, we recognize it as a complex challenge filled with opportunities to address the diverse needs of our community. We provide an essential service that customers trust for their grocery and household needs, while also offering flexible earning opportunities for our Personal Shoppers.
Instacart has become a vital resource for millions, and we are expanding our team to propel our mission forward. If you are ready to make a significant impact, we would love for you to join us.
Flexibility is Key at Instacart
We understand that there is no one-size-fits-all approach to work. Our team members have the freedom to choose their workspace—whether it's from home, in an office, or your favorite café—while staying connected and building community through regular in-person events. Learn more about our flexible work policies.
Position Overview
As part of Instacart’s Lifecycle Efficiency team within Data Science & Analytics, you will closely collaborate with the Incentives Marketing team to optimize customer growth strategies. We are in search of an Analytics Engineer who will develop and manage the data models, pipelines, and semantic layers necessary for accurate measurement of our marketing portfolio, which encompasses millions in annual expenditure.
In this pivotal role, you will lay the groundwork for data concerning incentives, promotions, and lifecycle communications across our marketplace. Daily collaboration with Data Engineering, Product, Marketing, and Engineering teams will be essential to establish reliable datasets, standardize KPI definitions, and promote scalable self-serve analytics. Your contributions will lead to expedited decision-making, measurable ROI, and informed experimentation.
You will be part of a dedicated team of five, where we value collaboration, analytical thinking, and hands-on problem-solving. If you thrive in a dynamic environment, enjoy transforming complex real-world signals into reliable datasets, and aspire to make a tangible impact in a high-ownership domain, we want to hear from you.

