Content Data Analyst Jobs (NOW HIRING)

Company Background:

Established in 1928, Genuine Parts Company is a leading global service provider of automotive and industrial replacement parts and value-added solutions. Our Automotive Parts Group operates across the U.S., Canada, Mexico, Australasia, France, the U.K., Ireland, Germany, Poland, the Netherlands, Belgium, Spain and Portugal, while our Industrial Parts Group serves customers in the U.S., Canada, Mexico and Australasia. We keep the world moving with a vast network of over 10,700 locations spanning 17 countries supported by more than 63,000 teammates. Learn more at genpt.com.

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, Application Data 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, Application Data will own every component of vehicle fitment data and will support the design and implementation of future systems, science and processes to ensure that GPCs foundational data is best-in-class.

The Sr Content Data Analyst, Application Data 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.

The Sr Content Data Analyst, Application Data is responsible for high volume and complex product categories. In this role they are responsible to define a strategy with category and supplier participation to improve the quality of the data by meeting KPI's.

Regularly, you'll need to analyze data, identify trends, and deliver both improvements and actionable insights to stakeholders that can help improve vehicle application records and user experience through regular analysis of applications 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
• Analyze more complex application data from multiple sources to validate completeness and correctness of records, engage appropriate contacts to update source data as needed. Assist junior team members as needed.
• Facilitate the exchange of vehicle information, assets, and updates, ultimately enhancing our product listings and business performance
• Manage application 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 application records, assets, and specifications
• Conduct regular audits and quality checks to ensure that application data meets industry standards and best practices
• Address and resolve any issues or discrepancies related to application data
• 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 application 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:

• This position is at the 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 (5+ preferred) years of experience in data management and vehicle application mapping in the Automotive space
• In-depth knowledge of Auto Care Association ACES standards and supporting databases
• Knowledge of FMSI & Interchange
• 1 or more of the following certifications are preferred:
  • Automotive Content Professional (ACP)
  • Automotive Aftermarket Professional (AAP)
  • Master Automotive Aftermarket Professional (MAAP)
  • ASE Parts Specialist
• 2 (5+ preferred) years of 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 advanced 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