AI Catalog Pipeline Analyst I

Relha LLC; Springfield, Northern (MO, KY); Hybrid; USD 55,000 - 75,000; Full time

Job summary

O’Reilly Auto Parts is seeking a Product Analyst I to assist in lifecycle management of products and support an AI-driven data pipeline for automotive catalog data. The role partners with the Product Owner and cross-functional teams to identify opportunities and measure success, with emphasis on data-driven decision making.

The position is on-site in Springfield, MO, with no remote option, and involves analyzing automotive aftermarket data, validating requirements, and delivering pipeline

Qualifications

• Requires Associate's Degree or equivalent technical training/certification.
• Experience with automotive aftermarket catalog content (ACES/PIES mapping) preferred.
• Ability to analyze large datasets and extract actionable insights.
• Strong collaboration with Product Owners and cross-functional teams.
• Familiarity with AI/ML data processing concepts.
• Ability to present data-driven recommendations to stakeholders.

Responsibilities

• Monitor product lifecycle and track development and marketing activities.
• Analyze trends in automotive aftermarket to inform product strategy.
• Define requirements with Product Owners and prioritize features.
• Support design and evaluation of AI catalog data pipeline changes.
• Conduct market research and competitive analyses.
• Prepare data-quality and pipeline analytics reports.
• Present findings to engineering and data science teams.
• Support client inquiries with technical product guidance.

Skills

Product lifecycle

Data analysis

Stakeholder mgmt

AB testing

AI/ML data

ACES/PIES standards

Education

Associate's Degree or equivalent

Tools

ACES/PIES mapping

Job description

O’Reilly Auto Parts is seeking a Product Analyst I to assist in lifecycle management of products and support an AI-driven data pipeline for automotive catalog data. The role partners with the Product Owner and cross-functional teams to identify opportunities and measure success, with emphasis on data-driven decision making.

The position is on-site in Springfield, MO, with no remote option, and involves analyzing automotive aftermarket data, validating requirements, and delivering pipeline