Business Analyst, Catalog

RevolutionParts•Tempe, AZ

About The Position

RevolutionParts is at the forefront of eCommerce solutions for the automotive parts industry. We specialize in providing a robust and intuitive eCommerce platform tailored to the unique needs of automotive parts businesses. Our mission is to empower our clients to maximize their online sales potential by offering a seamless, efficient, and comprehensive digital retail experience combining our world-class platform's capabilities and solid and deep eCommerce strategy and tactics. RevolutionParts is looking for a Business Analyst, Catalog to own the quality, completeness, and performance of our parts catalog data across OEM and aftermarket channels. This role serves as the critical link between business objectives and technical execution, focusing on how catalog data drives fitment accuracy, product discoverability, and revenue. You’ll operate at the intersection of data quality, partner relationships, and internal execution. You’ll maintain the health of the catalog data pipeline—including ACES/PIES—by identifying gaps, sourcing missing or outdated data, and partnering with OEMs and aggregators to enhance data quality, completeness, and coverage. You’ll analyze catalog quality trends and surface clear insights to inform Product decisions. You’ll also participate in OEM data calls to capture requests and translate them into actionable work for engineering. Over time, this role expands into full ownership of catalog enrichment—driving improvements in fitment coverage, data completeness, and attribute quality—and becomes a key contributor to catalog-driven revenue growth.

Requirements

2–4 years of experience in data operations, catalog or content management, product operations, or a related field
Demonstrated ability to take ownership of a process or dataset and drive measurable improvement over time
Functional understanding of ACES/PIES automotive data standards, or ability to quickly learn and apply structured data frameworks
Strong analytical skills—able to identify gaps, assess data quality, and drive improvements
Professional written and verbal communication—you can represent RevolutionParts credibly on an external call with a manufacturer’s data team
Experience writing clear, well-structured work items or requirements (Jira or similar project management tools)
Highly organized with strong attention to detail and reliable follow-through
Proven experience gathering, documenting, and translating complex business requirements (e.g., user stories, functional specifications) into actionable work items.
Curious about AI and automation, and comfortable operating in ambiguity—you thrive when there's room to improve how things work
Using AI tools responsibly to accelerate research, analysis, documentation, and problem-solving
Exercising strong judgment around data privacy, accuracy, and ethical use
Continuously learning and adapting as AI capabilities evolve
Proven examples of using AI to improve outcomes in prior roles is expected.

Nice To Haves

Familiarity with eCommerce platforms or automotive parts (a plus, not a requirement)

Responsibilities

Define, document, prioritize, and own business requirements for the catalog platform (including ACES/PIES), ensuring alignment with revenue and product goals, and coverage across OEM and aftermarket
Identify gaps in fitment, attributes, and coverage; source and incorporate missing or outdated data
Validate and prepare incoming catalog data for ingestion, enforcing quality standards
Maintain visibility into catalog health (coverage, completeness, freshness) and surface risks or gaps
Triage and manage daily catalog add/update requests
Reduce manual or repetitive workflows through better processes and automation
Apply AI tools to accelerate catalog processing, gap identification, and enrichment
Define and document current-state and future-state processes to ensure consistency and scalability, focusing on maximizing business value.
Participate in OEM and partner calls to capture data requirements, issues, and updates
Translate external inputs into clear, actionable work items for engineering
Coordinate with data providers to support data quality and enrichment efforts
Track progress and keep OEM partners informed on open requests