Multi-state automotive aftermarket retailer with 6,100+ locations
O'Reilly operates a large, store-centric retail network spanning 6,100+ locations across 48 US states plus Puerto Rico, Mexico, and Canada. The hiring profile is heavily sales and operations focused (1,080 of 1,680 roles), with minimal engineering (11 roles) and a data team of 9 — typical of a mature retail business optimizing existing operations rather than building new platforms. Tech stack mirrors this posture: Snowflake, BigQuery, dbt, Kafka, and Airflow sit alongside legacy warehouse systems (AS/400, WMS) and retail-grade tools (Vocollect, Domo, Sprinklr), suggesting incremental data modernization within a stable, inventory-centric operation.
O'Reilly Auto Parts is a public, Fortune 500 automotive aftermarket retailer founded in 1957 and headquartered in Springfield, Missouri. The company operates 6,100+ retail locations across North America, serving DIY customers, professional installers, and jobbers with parts and accessories. With 94,000+ team members, O'Reilly's operational footprint centers on store management, warehouse and distribution logistics, and sales. Current project activity reflects retail execution priorities: planogram management, inventory merchandising, loss prevention, store profitability, and online order processing. The company's mission emphasizes market dominance through competitive pricing, quality, and service across its regional markets.
O'Reilly operates 6,100+ retail locations across 48 US states, Puerto Rico, Mexico, and Canada.
Snowflake, BigQuery, dbt, Kafka, Apache Airflow, Prefect for orchestration, plus Alation and Collibra for data governance. Domo and Google Analytics for reporting.
Springfield, Missouri. The company employs 94,000+ team members and is a public, Fortune 500 company.
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