Sr Analyst – Content Data, Product Data & Catalog

Company Background

Before applying for this role, please read the following information about this opportunity found below.

Genuine Parts Company ( GPC or the Company ), founded in 1928 and based in Atlanta, Georgia, is a leading distributor of automotive and industrial replacement parts and value-added services.

The Company operates a global portfolio of businesses with more than 10,000 locations across the world. GPC has approximately 50,000 global employees.

Position Purpose

Seeking world-class talent to join the world’s leading distributor of automotive and industrial replacement parts and value-added services operating 5,500+ locations and servicing more than 20,000 locations in the U.

S and Canada. Specifically, this role will function as Sr Content Data Analyst, Product Data & Catalog to join our eComm & Digital Operations team.

Complete, accurate catalog data is critical to the success of several functions, including Technology, Finance, Category Management, Merchandising, and Customer Experience.

Working alongside key business functions, the Sr Content Data Analyst, Product Data & Catalog will own every component of product and vehicle fitment data and will support the design and implementation of future systems, science and processes to ensure that GPC's foundational data is best-in-class.

The Sr Content Data Analyst, Product Data & Catalog will call on their expertise in master data analysis, enrichment, management, governance, and quality control to effectively manage and improve the data elements and operations of a complex product catalog, including setting goals, strategy, and standards for data, content and the category experience they support.

This includes working closely with Technology, Category Management, Operations, Product and User Experience staff. This role supports the creation and maintenance of data onboarding, governance, management, and analytics capabilities that will guide our future-state strategy, as well as owning individual product category(ies) data breadth and quality.

Regularly, you’ll need to analyze data, identify trends, and deliver both improvements and actionable insights to stakeholders that can help improve content and user experience through regular analysis of content and engagement with internal and external data owners and stakeholders.

Job Responsibilities

• Ensure seamless communication and collaboration between cross-functional teams (Category, Operations, Supplier, UX, Product, and Engineering) to ensure a smooth flow of information into, and out of, our core systems.
• Optimize our customers’ experience using a variety of inputs, and clearly articulate rationale and data behind decisions.
• Facilitate the exchange of product and vehicle information, assets, and updates, ultimately enhancing our product listings and business performance.
• Manage product data, digital assets, and content within GPC PIM, ensuring accuracy, completeness, and consistency across all product records.
• Act as the primary point of contact between GPC and our Supplier Partners, facilitating effective communication, onboarding and information exchange.
• Provide manufacturers with training and support to update and maintain product information, fitment, assets, and specifications.
• Conduct regular audits and quality checks to ensure that product data and content meet industry standards and best practices.
• Address and resolve any issues or discrepancies related to product data or content.
• Support transformation and long-term strategic execution of Product Data & Catalog initiatives.
• Engage in the development of a roadmap of improvements for the optimization of supplier and product data into GPC systems.
• Partner with Product & Engineering to bring improved tooling for Product Information Management.
• Define, implement, and maintain team OKRs, KPIs, data policies, standards, and processes to ensure data accuracy, completeness, and consistency.
• Plan and facilitate the exposure of new data elements : manage intake and assess requests for new data attributes.
• Continuously improve the quality of the end-to-end process, including data governance, quality audits and process reviews.
• Other duties as assigned.

Location :

• GPC has two work locations to choose from, Duluth or Atlanta office.
• We offer a Flexible Work Policy that permits eligible employees to work a hybrid remote schedule.

Desired Qualifications & Experiences

• Bachelor’s degree in computer information systems, computer science, data science, or a related field.
• 2 years (6+ preferred) of experience in data management or data governance; preferably in the Retail or Automotive space.
• Experience in data platforms and processes including STIBO / STEP, BI reporting with PowerBI, Metadata Management, Data Governance, Master Data Management, and Data Catalog.
• Proven experience in data quality management and data process improvement at scale.
• Proficiency in Microsoft Office with Excel knowledge.
• Ability to document, communicate, implement, and operationalize complex processes.
• Ability to interpret data for others, conveying your findings clearly, concisely, and effectively so that they can take action.
• Ability to both operate at a strategic level and dive deep into the complexity of data and content.
• Experience tying business strategy to data needs and opportunities, and acting with urgency to improve current / future state execution.
• In-depth specialty area knowledge with a solid grasp of industry standards and practices.
• Naturally an analytical thinker who employs strong problem-solving skills with an owner mentality.
• Excellent communication and presentation skills.

GPC conducts its business without regard to sex, race, creed, color, religion, marital status, national origin, citizenship status, age, pregnancy, sexual orientation, gender identity or expression, genetic information, disability, military status, status as a veteran, or any other protected characteristic.

GPC's policy is to recruit, hire, train, promote, assign, transfer and terminate employees based on their own ability, achievement, experience and conduct and other legitimate business reasons.

J-18808-Ljbffr