O'Reilly Auto Parts

Senior Product Analyst-Catalog Data/AI

Springfield, MO, USPosted 12 days ago

Job Description

The Sr Product Analyst leads key aspects of lifecycle management for a product/service or group of products/services (from ideation to launch, and through to retirement). This role will specifically support the Product Owner responsible for building an AI-driven data pipeline for ingesting, normalizing, and enriching automotive aftermarket catalog content. The ideal candidate brings strong retail sales insight and automotive data standards expertise to guide user behavior analysis, identify high-value product opportunities, and measure the success of product initiatives.

*Note on scope: this role does not own or directly edit catalog content (e.g., individual part records, digital assets, or cross-references). It leads the AI pipeline and process work that ingests, normalizes, and enriches that content at scale, working in partnership with the teams that maintain catalog data directly.*

This is an on-site position located in Springfield, MO. Remote work is not an option for this position.

Responsibilities and Duties

  • Monitor all aspects of a product life cycle, including long- and short-term development and marketing. Perform analyses to stay abreast of trends in the automotive aftermarket and ensure the product's competitive position.
  • Define and deliver products and services that meet customer needs by selecting the best possible approaches available for the AI catalog data pipeline.
  • Deliver defined features, functionality, or outcomes from a designated part of the pipeline development/engineering program, selecting the best available approach within established systems.
  • Research data from digital product/service performance, customer behavior, and automotive aftermarket trends to identify opportunities for product and pipeline improvement.
  • Explore issues or needs, establishing potential causes and barriers, as well as related data or catalog quality issues.
  • Execute the development plan for the AI data pipeline, managin

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