Remote Data Quality Analyst (Automotive Data)

AutoScale Ventures; Lahore; Remote; PKR 1,828,000 - 2,190,000; Full time

Benefits offered by this job

Health benefits

Paid leave

Workspace stipend

Profit sharing

Remote work

Job summary

AutoScale Ventures is seeking a Data Quality Analyst to join the VinAudit team. This remote role in Pakistan focuses on ensuring accuracy, completeness, and reliability of large automotive datasets.

You will investigate data quality issues, validate outputs, and collaborate with developers to resolve problems in a fast-paced, data-driven environment. You will analyze datasets, document findings, and help improve validation processes while working 9:00 AM – 5:00 PM PT.

Qualifications

• Minimum 2 years of professional experience working with data, data analysis, or data quality.
• Experience working with and analyzing large datasets.
• Strong English reading and writing skills.
• Comfortable working independently in a remote environment.
• Able to document findings clearly for technical and non-technical teams.

Responsibilities

• Validate automotive datasets for accuracy, completeness, consistency, and reliability.
• Analyze large datasets to identify missing or inconsistent data.
• Investigate reported data quality issues and determine causes.
• Research external data sources to validate information.
• Compare data across sources to identify discrepancies.
• Document findings to help developers reproduce issues.
• Escalate problems and follow up until resolved.
• Verify fixes and confirm issues are addressed.
• Configure and fine-tune data parsing and validation systems.
• Perform recurring quality checks and identify broader data patterns.
• Maintain records of investigations and outcomes.
• Collaborate with developers to improve data reliability.
• Contribute to improving validation processes.

Job description

AutoScale Ventures is seeking a Data Quality Analyst to join the VinAudit team. This remote role in Pakistan focuses on ensuring accuracy, completeness, and reliability of large automotive datasets.

You will investigate data quality issues, validate outputs, and collaborate with developers to resolve problems in a fast-paced, data-driven environment. You will analyze datasets, document findings, and help improve validation processes while working 9:00 AM – 5:00 PM PT.