Catalog Operations Analyst II
About the role
Overview
Instacart's Catalog Operations team powers the data that makes shopping effortless. Catalog data represents the vast majority of what customers see when they browse, search, and buy. Our quality, coverage, and accuracy directly shape the customer experience. We are an AI-first operations team that builds LLM-driven pipelines and scalable quality programs to create, enrich, and govern product data across the Instacart ecosystem.
We're looking for a Catalog Operations Analyst II to accelerate our Health and Meals pillar within Online Grocery, one of our top strategic priorities. In this role, you will drive end-to-end data quality and enrichment for health, nutrition, and meal-related attributes, partnering closely with Catalog Engineering, Data Science, Product, and ML, as well as external data providers and BPOs. You'll join a tight-knit team of 8 who roll up their sleeves, solve creatively, and deliver measurable impact at scale.
About the Job
- Own data quality outcomes for the Health and Meals pillar by defining accuracy and coverage goals for critical attributes (e.g., nutrition, dietary tags, allergens, preparation/meal context) and driving measurable improvements across the catalog.
- Design, test, and operationalize LLM pipelines in partnership with Catalog Engineering and ML, including prompt iterations, evaluation frameworks, and human-in-the-loop QA.
- Develop robust SQL analyses to monitor health of the catalog, identify root causes, prioritize fixes, and communicate performance and impact to cross-functional stakeholders.
- Establish and continuously refine taxonomies, attribute definitions, and normalization standards; author SOPs and quality guidelines that scale across internal teams, external content providers, and BPOs.
- Manage day-to-day execution with external vendors and data partners (e.g. BPOs), setting SLAs, creating QA workflows, and implementing sampling plans that improve precision and recall at scale.
- Partner with Product, DS, and XFN teams to scope experiments, validate assumptions, and translate insights into roadmaps that elevate discovery, search relevance, and conversion for health and meal oriented use cases.