Data Analyst

About the role

The QA Data Analyst at Klipboard is responsible for maintaining and ensuring the quality of the automotive catalog data. This role involves loading, reviewing, and validating catalog data, extracting and transforming information from industry-standard formats such as ACES and PIES, and resolving data-quality issues with limited supervision.

Responsibilities

• Load, review and prioritize automotive catalog data updates to ensure parts, vehicle, labor, and interchange information is accurate and complete.
• Extract and validate data from ACES and PIES XML feeds.
• Verify labor and specification data, component diagrams, and part interchange.
• Maintain part types and product categories within the catalog.
• Publish and recommend retained parts based on data review.

Requirements

• Proficiency in Excel and data-analysis tools to review and validate large data sets.
• Intermediate relational-database knowledge and data-transformation skills (e.g., SQL and scripting for data conversion).
• Experience extracting and validating structured data such as XML feeds (ACES/PIES or equivalent).
• Strong analytical skills with a high level of accuracy and attention to detail.
• Knowledge of automotive parts and their functions, or equivalent product-data domain experience.
• Clear written and verbal communication, including explaining complex data to non-technical colleagues.
• Able to work as a fully competent individual contributor with limited supervision.

Qualifications

• Solid data literacy – understanding of data concepts, terminology, and structures.
• Experience with automotive catalog standards (ACES, PIES, and Partslink).
• Understanding of automotive industry trends and market dynamics.
• Tire-data experience, including tire industry terminology and data-acquisition tools.
• Experience with catalog configuration systems.
• Exposure to verifying component diagrams, interchange, and labor/specification data.
• AI Fluency – interested in how AI can enhance productivity, decision-making, and customer outcomes.

Skills, Knowledge & Experience

• Strong analytical skills with a high level of accuracy and attention to detail.
• Intermediate relational-database knowledge and data-transformation skills (e.g., SQL and scripting for data conversion).
• Experience extracting and validating structured data such as XML feeds (ACES/PIES or equivalent).
• Knowledge of automotive parts and their functions, or equivalent product-data domain experience.
• Clear written and verbal communication, including explaining complex data to non-technical colleagues.
• Able to work as a fully competent individual contributor with limited supervision.

Benefits

Klipboard offers a flexible hybrid work policy where employees spend three days in the office and two days working from home. This approach promotes a balanced work environment that combines office collaboration with the comfort and convenience of remote work.

Pay

Compensation details are confidential and will be shared upon successful completion of the interview process.

Schedule

Employees at Klipboard follow a flexible hybrid work schedule, spending three days in the office and two days working from home.