Senior Analyst(Development)
Confirmed on the employer's own hiring board on Nov 9, 2026. First seen by Alion on Nov 9, 2026.
Job Summary
VOLVO IT
Data Quality Analyst - 3 FTE (E1 or E1.2)
Role overview
Perform high-volume data validation and parts cross-reference activities by comparing publicly available truck-part information with internal Volvo and Mack parts data, ensuring accurate and consistent records.
Key responsibilities
Compare publicly available truck part numbers with internal Volvo and Mack parts databases.
Validate and maintain mappings between Vehicle Maintenance Reporting Standards (VMRS) part numbers and Volvo/Mack part numbers.
Review and verify data pre-processed by AI-enabled tools.
Identify and correct data-quality issues, inconsistencies and formatting errors.
Update and maintain parts cross-reference data in accordance with established standards.
Use internal systems and external websites to research and validate data.
Perform repetitive, high-volume validation activities accurately while maintaining expected productivity standards.
Participate in training sessions, sprint reviews and status meetings.
Required qualifications
Strong attention to detail and commitment to data accuracy.
Ability to work effectively with structured data and data validation processes.
Comfortable learning and navigating multiple applications, systems and websites.
Experience performing research, validation or data-quality activities.
Comfortable performing repetitive data-review activities consistently while maintaining productivity standards.
Preferred qualifications
Intermediate proficiency in Microsoft Excel.
Experience with data entry, data quality or database maintenance activities.
Experience working in a production-oriented or process-driven environment.
Key Responsibilities
Data Quality Analyst - 3 FTE (E1 or E1.2)
Role overview
Perform high-volume data validation and parts cross-reference activities by comparing publicly available truck-part information with internal Volvo and Mack parts data, ensuring accurate and consistent records.
Key responsibilities
Compare publicly available truck part numbers with internal Volvo and Mack parts databases.
Validate and maintain mappings between Vehicle Maintenance Reporting Standards (VMRS) part numbers and Volvo/Mack part numbers.
Review and verify data pre-processed by AI-enabled tools.
Identify and correct data-quality issues, inconsistencies and formatting errors.
Update and maintain parts cross-reference data in accordance with established standards.
Use internal systems and external websites to research and validate data.
Perform repetitive, high-volume validation activities accurately while maintaining expected productivity standards.
Participate in training sessions, sprint reviews and status meetings.
Required qualifications
Strong attention to detail and commitment to data accuracy.
Ability to work effectively with structured data and data validation processes.
Comfortable learning and navigating multiple applications, systems and websites.
Experience performing research, validation or data-quality activities.
Comfortable performing repetitive data-review activities consistently while maintaining productivity standards.
Preferred qualifications
Intermediate proficiency in Microsoft Excel.
Experience with data entry, data quality or database maintenance activities.
Experience working in a production-oriented or process-driven environment.