The Team: The Data Quality team is responsible for ensuring data quality and consistency in source and parsed data for better and trusted deliverables.

The Impact: The Data Quality team plays a crucial role in delivering accurate, consistent and reliable data to the clients. As a part of the Data Quality Team, the candidate will work on Global Automotive space to ensure and provide relevant and insightful details regarding various automotive entities.

What’s in it for you: We are looking for a agile team member who is eager to rapidly learn and develop strong analytical skills to interpret data. In this role, you’ll play a central part in improving enterprise data quality, with a strong focus on Source business data and reference data processes that are critical to our business operations. You’ll have the opportunity to expand your technical and business expertise by working closely with diverse groups across the organization, including data, operations, and vendor partners, while building valuable skills in data investigation, issue resolution,



and process improvement within a global automotive market context.

Responsibilities

Oversee source data processes within enterprise tools, ensuring data quality and consistency.
Monitor system-generated exceptions and variations in source data and key data fields, applying business standards and governed corrections.
Create and monitor internal data quality audits (AWS Quick-sight, Tableau, Power BI), document findings, and review corrective actions with business owners.
Interact with various stakeholders to resolve questions, troubleshoot issues, and validate fixes.
Use SQL to review data and run queries for validation, research, and troubleshooting purposes.
Create, review and interpret Python scripts used in enterprise to support troubleshooting and code reviews; make updates as needed.
Monitor services deployed on Cloud, ideate for new solution and make updates as needed.

What We’re Looking For

Bachelor’s degree

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