The QA Data Analyst maintains and assures the quality of Klipboard’s automotive catalog data, making sure parts, vehicle, labour and interchange information is accurate, complete and ready for customers to use. Working as a fully competent individual contributor, the role loads, reviews and validates catalog data, extracts and transforms information from industry-standard formats such as ACES and PIES, and resolves data-quality issues with limited supervision. Success looks like catalog content customers can trust – high coverage, few defects, and timely updates that reflect changes across the automotive aftermarket. Day to day, the role works within a catalog data operations team using Excel, relational databases and catalog configuration systems, and partners with product, development and customer-facing colleagues to keep data standards high. As a mid-level (P3) role, it balances hands-on data-quality delivery with growing automotive-industry and technical expertise. Klipboard is embracing AI at pace across our products and ways of working. We’re looking for people who are curious about how AI can enhance productivity, decision-making and customer outcomes, and who are open to learning and adapting as this space evolves.
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed