Product Analyst I- Catalog Data/AI

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

The Product Analyst I assists in all aspects of lifecycle management of a product/service or a 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 leverages retail sales insights and automotive data standards to understand user behavior, identify 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 builds and analyzes the automated AI pipeline and processes that ingest, normalize, and enrich that content at scale, working in partnership with the teams that maintain catalog data directly.

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

Responsibilities and Duties:

Monitor specific aspects of a product life cycle, including long- and short-term development and marketing. Perform analyses on specific aspects to stay abreast of trends in the automotive aftermarket and ensure the product's competitive position.

Collaborate with Product Owners to define product requirements, prioritize features, and optimize the user experience for the AI catalog data pipeline.

Carry out a range of product development and engineering activities. Use established systems to analyze automotive customer needs, catalog data pipeline structures, and define and deliver products.

Assist in the design and execution of A/B tests and other experiments to evaluate the impact of new features, normalization algorithms, and product changes.

Collect, analyze, and interpret large datasets related to product usage, user behavior, and aftermarket catalog data; identify trends and patterns in the data to uncover user needs, data gaps, and opportunities for pipeline improvement.

Support the product team in conducting market research and competitive analysis within the automotive retail and aftermarket catalog industries.

Support the development of new products and services by executing different responsibilities in the data pipeline development plan.

Contribute to the preparation of various data, pipeline data-quality, and pipeline analytics reports.

Present data-driven recommendations to product, engineering, and data science teams to optimize catalog enrichment.

Provide advice, training, and assistance regarding clients' queries, ensuring the technical product/service capabilities, AI pipeline functionality, and automotive catalog context are well understood by the client.

Work within an established project management plan to achieve specific goals.

Demonstrate the features/attributes of the AI catalog data pipeline and support requests for detailed demonstrations.

Develop own capabilities by participating in assessment and development planning activities, as well as formal and informal training and coaching.

Develop and maintain an understanding of relevant technology (including AI/ML data processing), external regulation, and industry best practices (such as ACES/PIES standards) through ongoing education, attending conferences, and reading specialist media.

Skills:

Required:

Works at an intermediate level to manage and develop all aspects of a product or service to ensure it achieves its full impact and value in the market. (Intermediate — works with guidance)

Works at an intermediate level to oversee and manage all stages of a product's lifecycle, from ideation to retirement, ensuring efficient processes, timely delivery, and adherence to quality standards. (Intermediate — works with guidance)

Works at an intermediate level to plan, organize, prioritize, and oversee activities to efficiently meet objectives. (Intermediate — works with guidance)

Works at an intermediate level to communicate and articulate potential resolutions or strategies in a clear, compelling, and tailored manner to address specific automotive catalog challenges or meet organizational needs. (Intermediate — works with guidance)

Works at an intermediate level to analyze and research automotive aftermarket conditions and facts to develop a full and comprehensive understanding of the market, for the benefit of the brand, product, or service. (Intermediate — works with guidance)

Works at an intermediate level to determine and analyze trends from collected data to assist in compiling reports that support AI pipeline and data quality decision-making. (Intermediate — works with guidance)

Works at an intermediate level to identify potential stakeholders, analyze their expectations, and develop strategies for managing stakeholders and their expectations. (Intermediate — works with guidance)

Works at an intermediate level to review and evaluate recommendations and requirements, and to develop appropriate plans or deliver actions required. (Intermediate — works with guidance)

Works at a basic level to identify, sequence, and resource project schedules for timely completion. (Basic — works under close supervision)

Works at a basic level to plan, identify, monitor, analyze, and prioritize risks (threats and opportunities), create response plans, and manage the risk if it occurs. (Basic — works under close supervision)

Works at a basic level to identify, verify, and manage changes to the scope of the project or program, utilizing the most appropriate approach. (Basic — works under close supervision)

Works at a basic level to identify appropriate measures for assessing solution performance and pipeline limitations, validate with key stakeholders, and collect appropriate performance measures to recommend specific actions to increase solution value. (Basic — works under close supervision)

Works at a basic level to identify, track, and enable the achievement of the planned benefits and intended outcomes of a program and associated projects. (Basic — works under close supervision)

Works at an intermediate level to develop an effective change strategy based on gap analyses and enterprise readiness assessment results, including transition states and release plans. (Intermediate — works with guidance)

Education: Associate's Degree or equivalent technical training/certification

Experience: Previous experience with automotive aftermarket catalog content (e.g., ACES/PIES mapping) and automotive retail sales; sound experience and understanding of straightforward procedures or systems (7-12 months).

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)
• 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: [emailprotected] or call [phone] option , and provide your requested accommodation, and position details.