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Instacart

Instacart invites the world to share love through food. This is how homemade is made.

Catalog Operations Analyst II

OperationsOperationsFull TimeRemoteSeniorTeam 1,001-5,000Since 2012H1B SponsorCompany SiteLinkedIn

Location

Canada

Posted

2 days ago

Salary

$104K - $109.5K / year

Seniority

Senior

Bachelor Degree3 yrs expEnglishSQL

Job Description

Catalog Operations Analyst II

Instacart

• 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.

Job Requirements

  • 3+ years of experience in catalog/content operations, data operations, or data quality within e-commerce, marketplace, retail, or a similar high-scale data environment.
  • Bachelor’s degree in a quantitative, analytical, or related field (e.g., Data/Information Science, Business, Economics, Statistics) or equivalent practical experience.
  • Demonstrated success partnering with Engineering, Data Science, and Product to scope requirements and deliver production-scale projects.
  • Proficiency in SQL (including joins, aggregations, and window functions) and advanced Excel/Google Sheets for analysis, QA sampling, and reporting.
  • Familiarity with LLMs and prompt design for data extraction, classification, or attribute enrichment, including LLM evaluation and feedback loops.
  • Hands-on experience defining and managing data quality metrics (e.g., accuracy, precision, recall) and running root cause analyses.
  • Experience operationalizing workflows with external vendors/BPOs or data providers, including SOPs, SLAs, and multi-step QA processes.

Benefits

  • highly market-competitive compensation
  • new hire equity grant
  • annual refresh grants

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