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Job Title: Data Quality Analyst
Schedule: Monday-Friday, 8 AM - 5 PM
Location: Columbus, OH
Work Arrangement: Remote
Compensation: $74/hr
Candidate Requirements: US Citizens or GC Holders only. This role is not open to C2C.
We are seeking a detail-oriented Data Quality Analyst to lead initiatives that ensure the accuracy, consistency, and reliability of enterprise data across various platforms and domains. Responsibilities include proactive data validation, collaboration with cross-functional teams, and development of automated processes to improve data quality. The ideal candidate will have strong SQL skills, data governance experience, and a passion for driving data integrity.
Key Responsibilities:
- Perform manual data validation, report testing, and research to identify data discrepancies.
- Collaborate with data engineers on unit testing views and stored procedures.
- Drive implementation and automation of business rules to support data quality objectives.
- Monitor and maintain data quality and integrity organization-wide.
- Identify and resolve data quality issues, assess business impact, and lead remediation efforts.
- Define and document data quality standards and goals in partnership with business stakeholders.
- Troubleshoot data anomalies and work across teams to implement preventative solutions.
- Support data governance, metadata management, and master data management initiatives.
Preferred Qualifications:
- Strong SQL skills for writing and executing data validation queries.
- Experience with SAP ECC, Finance, Salesforce, SuccessFactors, and Operations domains.
- Knowledge of data governance frameworks and tools like Informatica EDC.
- Experience with Power BI, data warehousing, and data modeling (star schema, data vault).
- Proficiency in MS Excel and Microsoft Office Suite.
- Strong problem-solving and communication skills, with the ability to translate technical issues to business users.
- Experience with agile methodologies, specifically SCRUM.
Education & Experience:
- 8+ years in IT roles with 5+ years focused on data quality.
- 5+ years of hands-on SQL experience.
- Bachelor's degree in Computer Science, Information Management, Statistics, or related field.
Seniority Level
- Mid-Senior level
Employment Type
- Contract
Job Function
- Information Technology
Industries
- Staffing and Recruiting