About the position
Genuine Parts Company is seeking world-class talent to join the world’s leading distributor of automotive and industrial replacement parts and value-added services. The Digital Analyst - Content Data, Product Data & Catalog will function within the eComm & Digital Operations team, focusing on the management and improvement of product and vehicle fitment data. This role is critical to the success of various functions including Technology, Finance, Category Management, Merchandising, and Customer Experience. The analyst will own every component of product data and support the design and implementation of systems and processes to ensure that GPC's foundational data is best-in-class. Responsibilities include analyzing data, identifying trends, and delivering actionable insights to improve content and user experience.
Responsibilities
- Ensure seamless communication and collaboration between cross-functional teams (Category, Operations, Supplier, UX, Product, and Engineering).
- Optimize customer experience using various inputs and articulate rationale and data behind decisions.
- Facilitate the exchange of product and vehicle information, assets, and updates.
- Manage product data, digital assets, and content within GPC PIM, ensuring accuracy, completeness, and consistency.
- Act as the primary point of contact between GPC and Supplier Partners.
- Provide manufacturers with training and support to update and maintain product information.
- Conduct regular audits and quality checks to ensure product data meets industry standards.
- Address and resolve issues or discrepancies related to product data or content.
- Continuously improve the quality of the end-to-end process, including data governance and quality audits.
Requirements
- Bachelor’s degree in computer information systems, computer science, data science, or a related field.
- 1 year (4+ 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, 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 and convey findings clearly and effectively.
- In-depth specialty area knowledge with a solid grasp of industry standards and practices.
- Strong problem-solving skills with an owner mentality.
- Excellent communication and presentation skills.
Benefits
- Flexible Work Policy allowing hybrid remote schedule.
- Opportunities for career growth within a global company.
