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Generalist data operations role, metro Hyderabad location, hybrid setup, and mid-level profile increase applicant competition.
Vehicle-dataset focus adds domain specificity, though core data skills remain transferable across industries.
No explicit years or required certifications, but domain experience and tooling expectations create moderate filtering.
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Ensure high-quality, accurate, and timely availability of vehicle datasets within the centralised group data team.
Manage data accuracy by analyzing vehicle data, escalating issues to stakeholders or third parties, and enhancing data using approved tools.
Collaborate across teams to improve data processes, create or source supplementary datasets, document SOPs, generate reports, and support product and engineering improvements with an automation-first approach.
Experience with vehicle datasets or similar types of data management: Not explicitly mentioned in the JD.
Work Experience Required: Not explicitly mentioned in the JD.
Degree or educational background: Not explicitly mentioned in the JD.
Notice Period: Not explicitly mentioned in the JD.
Operates effectively in a structured data environment focused on data accuracy and process improvement, particularly vehicle-related data.
Capable of collaborating across multiple teams including product owners, software engineers, and stakeholders to drive automation and scalable data solutions.
Experienced in documentation, reporting, and process standardization to support team training and business continuity.