Hybrid QA Data Analyst – Automotive Catalog & AI

Klipboard; Center Square (PA); Hybrid; USD 75,000 - 95,000; Full time

Benefits offered by this job

Hybrid work policy

AI-enabled data tools

Job summary

Klipboard is seeking a QA Data Analyst to maintain and assure automotive catalog data, loading, reviewing and validating data from ACES and PIES formats. The role emphasizes accuracy, coverage and timely updates across databases, with collaboration across product, development and customer-facing teams.

The ideal candidate balances hands-on data-quality delivery with growing automotive industry knowledge, using Excel and SQL tools in a collaborative environment that values continuous improvement.

Qualifications

• Solid data literacy – data concepts, terminology and structures.
• Strong data-analysis capabilities with attention to detail.
• Proficiency in Excel for cleansing, reviewing and validating large data sets.
• Intermediate SQL and scripting for data transformation.

Responsibilities

• Ensure catalog data is accurate, complete and fit for customer use.
• Investigate, prioritise and remediate data-quality issues with limited supervision.
• Conduct quality assurance across catalog system and underlying data.
• Maintain rigorous attention to detail in data entry and analysis.

Skills

Data literacy

Data analysis

Excel

SQL

Tools

SQL

Excel

Job description

Klipboard is seeking a QA Data Analyst to maintain and assure automotive catalog data, loading, reviewing and validating data from ACES and PIES formats. The role emphasizes accuracy, coverage and timely updates across databases, with collaboration across product, development and customer-facing teams.

The ideal candidate balances hands-on data-quality delivery with growing automotive industry knowledge, using Excel and SQL tools in a collaborative environment that values continuous improvement.