Data Quality Analyst

Experis; Columbus (OH); Remote; USD 150,000 - 170,000; Full time

Job summary

An established industry player is seeking a detail-oriented Data Quality Analyst to lead initiatives ensuring the accuracy and reliability of enterprise data. This role involves proactive data validation, collaboration with cross-functional teams, and the development of automated processes to enhance data quality. The ideal candidate will have strong SQL skills and a passion for data integrity. If you're ready to make a significant impact in a dynamic environment, this opportunity is perfect for you.

Qualifications

• 8+ years in IT roles with 5+ years focused on data quality.
• Strong SQL skills for writing and executing data validation queries.

Responsibilities

• Perform manual data validation and report testing to identify discrepancies.
• Collaborate with data engineers on unit testing views and stored procedures.

Skills

SQL

Data Governance

Data Validation

Problem-Solving

Communication Skills

Education

Bachelor's degree in Computer Science

Bachelor's degree in Information Management

Bachelor's degree in Statistics

Tools

SAP ECC

Salesforce

Power BI

Informatica EDC

MS Excel

Job description

Join to apply for the Data Quality Analyst role at Experis.

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