Senior Product Analyst-Catalog Data/AI

The Sr. Product Analyst supports the lifecycle management of catalog content, from vendor data intake through publication and retirement of listings. This role uses data to understand how technicians, retailers, and end consumers in both the DIY and DIFM segments search for and select parts, and works closely with catalog business stakeholders, engineering, and vendor management to ensure the catalog is accurate, complete, and easy to shop against fitment (year/make/model/engine) attributes. The Sr. Product Analyst also takes on greater ownership of catalog release prioritization, cross-functional coordination, and mentorship of junior analysts. 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 the parts catalog lifecycle, including long- and short-term catalog development strategy and promotion of catalog features. Perform analyses to stay abreast of fitment and marketplace trends and ensure the catalog's competitive position. Define and deliver catalog data structures, attribute taxonomies, and fitment logic that meet vendor and end-user needs by selecting the best possible approaches within established data standards (e.g., ACES/PIES). Deliver defined features, functionality, or outcomes from a designated part of the catalog data ingestion and publication program, selecting the best available approach within established systems. Research catalog usage data, DIY/DIFM customer behavior, and market trends to identify opportunities for catalog content improvement. Explore catalog data quality issues or gaps — such as fitment mismatches, vendor feed errors, or attribute inconsistencies — establishing potential causes, barriers, and related issues. Execute the development plan for new catalog features or vendor integrations, managing project schedules, identifying risks, and communicating to project stakeholders. Collect, analyze, and interpret large datasets related to catalog usage, fitment lookup behavior, and market trends to uncover user needs, pain points, and opportunities for catalog improvement. Edit catalog content in line with organizational style and data guidelines and prepare information for publication. Lead testing and reporting on AI initiatives applied to catalog data ingestion and publication (e.g., automated attribute mapping, fitment matching, and content generation), documenting accuracy, exceptions, and areas needing human review, and recommending adjustments to improve reliability. Plan and oversee User Acceptance Testing (UAT) for catalog releases, including defining test strategy against fitment accuracy, attribute completeness, image/spec display, and cross-reference (interchange) data prior to go-live. Work within an established project management plan to achieve catalog release and data quality goals. Review the backlog of catalog data and ingestion work for a project and reprioritize work and deployment of project resources to reduce costs and increase the value of the work delivered to the business. Provide advice, training, and assistance to catalog business stakeholders and clients to resolve complex fitment and catalog data queries, ensuring capabilities are well understood and implemented in the context of the business. Demonstrate the most valuable catalog and fitment features; lead a team of demo specialists to bring the highest value to customers during demonstrations. Develop own capabilities by participating in assessment and development planning activities as well as formal and informal training and coaching; gain or maintain external professional accreditation, where relevant, to improve performance and fulfill personal potential. Maintain an understanding of catalog data standards (e.g., ACES/PIES), automotive fitment concepts, and industry best practices through ongoing education, attending conferences, and reading specialist media. Skills: Required: Manages and develops all aspects of a product or catalog dataset to ensure it achieves its full impact and value in the market. Oversees and manages all stages of a catalog product's lifecycle, from vendor data intake to retirement, ensuring efficient ingestion processes, timely publication, and adherence to data quality standards. Plans, organizes, prioritizes, and oversees catalog data and UAT activities to efficiently meet release objectives. Communicates and articulates data quality issues, ingestion errors, and potential resolutions in a clear, compelling, and tailored manner to address specific stakeholder needs. Analyzes and researches automotive aftermarket and OEM market conditions to develop a comprehensive understanding of fitment and catalog trends that benefit the organization. Determines and analyzes trends from catalog usage and ingestion data to compile reports that support data quality and product decisions. Identifies potential stakeholders (vendors, catalog business stakeholders, engineering, end users), analyzes their expectations, and develops strategies for managing them through the release cycle. Reviews and evaluates catalog data requirements and UAT findings to develop appropriate remediation plans or release actions. Tests and evaluates the performance of AI-driven tools used in catalog data ingestion and publication, documenting results and recommending adjustments to improve accuracy and reliability. Identifies, sequences, and resources catalog release and UAT schedules for timely completion. Plans, identifies, monitors, analyzes, and prioritizes risks in data ingestion and catalog releases (e.g., feed failures, fitment errors), creating response plans and managing risk if it occurs. Identifies, verifies, and manages changes to catalog scope (new vendors, categories, attribute sets), utilizing the most appropriate approach. Identifies appropriate measures for assessing catalog data quality and fitment accuracy, validates with key stakeholders, and collects performance measures to recommend actions that increase catalog value. Identifies, tracks, and enables the achievement of planned benefits and outcomes from catalog and data ingestion initiatives. Develops an effective change strategy based on gap analyses of catalog data quality and readiness assessments, including transition states and release plans. Education: Bachelor's Degree or Equivalent Level Experience: Experienced practitioner able to deal with the majority of situations and to advise others (3 to 6 years) Managerial Experience: Basic experience of coordinating the work of others (4 to 6 months) O’Reilly Auto Parts has a proven track record of growth and stability. O’Reilly is full of successful career stories and believes in a strong promote-from-within philosophy, encouraging you to grow your career along with the organization. Total Compensation Package: Competitive Wages & Paid Time Off Stock Purchase Plan & 401k with Employer Contributions Starting Day One Medical, Dental, & Vision Insurance with Optional Flexible Spending Account (FSA) Team Member Health/Wellbeing Programs Tuition Educational Assistance Programs Opportunities for Career Growth O’Reilly Auto Parts is an equal opportunity employer. The Company does not discriminate on the basis of race, religion, color, national origin or ancestry (including immigration status or citizenship), sex, sexual orientation, gender identity, pregnancy (including childbirth, lactation, and related medical conditions,) age (40 and over), veteran status, uniformed service member status, physical or mental disability, genetic information (including testing or characteristics) or another protected status as defined by local, state, or federal law, as applicable. Qualified individuals with a disability may be entitled to reasonable accommodation under the Americans with Disabilities Act. If you require a reasonable accommodation during the application or employment process, please send an email to: or call (800) 471-7431 option , and provide your requested accommodation, and position details.