Data Qualification Specialist

Infopro Digital•Nashville, TN

10d•Onsite

About The Position

Infopro Digital, the B2B group specializing in information and technology, is currently looking for a Data Qualification Specialist on a permanent contract to strengthen the Infopro Digital Automotive team in Nashville, TN. Infopro Digital Automotive develops digital tools and software dedicated to the performance of decision-makers in the various sectors of the automotive aftermarket industry. Services benefit various automotive stakeholders, such as car manufacturers, aftermarket parts producers, distributors, and workshops. Further brands include ETAI, Eucon, HaynesPro, OATS, Inovaxo, Autronica, ETAI Ibérica, IsiCondal, Carooline, Haynes, DriveRightData, GiPA and Aurelis. Join Infopro Digital and become a Key Player in our Team! With exciting job opportunities worldwide, Infopro Digital opens up a vast universe of professional challenges. Joining our group means plunging into the heart of stimulating collaborations within multidisciplinary teams.

Requirements

Technically skilled professional with experience in the automotive industry, and knowledge of ACES/PIES standards.
Bachelor's degree or equivalent, with proven experience in the garage/workshop business and strong technical knowledge of vehicles.
Advanced Excel skills, with experience working with databases and Power BI.
Strong analytical skills and attention to detail, with the ability to work accurately with large datasets.
Fluent in English.
Team player with a willingness for a hands-on approach.

Responsibilities

Vehicle identification & data modeling. Develop and maintain the hierarchical Global Identification Tree (GIT), translating OEM vehicle data into structured identification logic, interpreting VIN decoding standards (ISO 3779 and manufacturer-specific), and maintaining version control across vehicle lifecycle changes.
Data integration & external linking. Implement and validate license plate-to-vehicle type mappings, integrate external data sources into the GIT framework, and ensure consistency between manufacturer data, third-party datasets, and customer systems and APIs.
Data quality & validation. Perform data consistency checks and structural validations, resolve identification conflicts or data mismatches, and develop Excel-based validation models and control sheets, supporting BI analysis and reporting.
Systems & collaboration. Work within our internal system (WIM), collaborating closely with technical stakeholders, OEM data providers, and IT teams.