Data Analyst

Role Overview

Klipboard is a global, growing business that embraces AI and emerging technologies to enhance customer outcomes, collaboration, and continuous improvement. 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.

What You Will Do

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.

Why It Might Be a Fit

The ideal candidate will have solid data literacy, proficiency in Excel and data-analysis tools, intermediate relational-database knowledge and data-transformation skills, and experience extracting and validating structured data such as XML feeds.

Requirements

• Solid data literacy – understanding of data concepts, terminology and structures.
• Proficiency in Excel and data-analysis tools to review and validate large data sets.
• Intermediate relational-database knowledge and data-transformation skills (for example 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.

Benefits

• Flexible hybrid work policy
• Competitive salary
• Opportunities for growth and development
• Collaborative and service-oriented work environment
• Inclusive workplace with a diverse workforce

Tagged as: Data Analysis