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Dq Business Analyst Jobs (NOW HIRING)

Zortech Solutions

Lead Business Analyst

Iselin, NJ · On-site

Lead Business Analyst cum Data Analyst - Risk and Governance Location: (Hybrid, 3 days in a week ... Guide business rule validation and help define or enhance enterprise DQ rules. * Lead quality ...

cillium corp

data analyst

Fairfax, VA · On-site

... analysis of profiling and metrics results • Review DQ requirements to help build valid and ... business and DQ rules where necessary • This role will work with the Chief Data Officer (CDO ...

Cillium Corp.

data analyst

Fairfax, VA

... business and DQ rules where necessary This role will work with the Chief Data Officer (CDO ... analyst, financial modeler, statistician Good understanding of data management practices ...

Amicis Global

Data Analyst

Jersey City, NJ · On-site

This newly formed role will collaborate with developers, data owners, governance leads and business ... Summary: - Partner with the data owners and stakeholders to create KDEs and DQ rules needed for ...

RIT Solutions, Inc.

Data Quality Lead / Data Engineer

$117K - $140K/yr

... DQ) business rules. • Build exception handling and inline data quality processes within ... Lead analysts and the daily monitoring team to identify data anomalies. • Work closely with ...

Stellar IT Group

Data Governance Analyst

New York, NY · On-site

... business and technology teams. This role focuses on building and executing data quality rules ... Key Responsibilities: • Build and run daily data quality (DQ) rules, reconciliations, and ...

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Dq Business Analyst information

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$47

$71

How much do dq business analyst jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for dq business analyst in the United States is $47.43, according to ZipRecruiter salary data. Most workers in this role earn between $35.58 and $59.38 per hour, depending on experience, location, and employer.

What are popular job titles related to Dq Business Analyst jobs?

For Dq Business Analyst jobs, the most frequently searched job titles are:

Infographic showing various Dq Business Analyst job openings in the United States as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $98,662 per year, or $47.4 per hour.

Information Technology_USA - USA_Business Analyst

Jacksonville, FL • On-site

Real Soft, Inc.
IT Services • 501 - 1,000 employees
Learn more about Real Soft, Inc.external

Contractor

Re-posted 13 days ago

Job description

Local to Raleigh NC only! Experienced Data Quality Engineer/Lead to design, implement, and operationalize enterprise-wide Data Quality capabilities leveraging DQLabs and modern cloud data platforms. The candidate will drive data profiling, DQ rule implementation, data observability, stewardship workflows, metadata management, and executive reporting to improve trust, compliance, and business decision-making. The role will partner closely with business stakeholders, data stewards, architects, and engineering teams across multiple insurance data domains.• Implement and administer DQLabs Data Quality platform and related data observability capabilities. • Profile source systems and identify Critical Data Elements (CDEs). • Define, configure, and maintain data quality rules for Completeness, Accuracy, Consistency, Validity, Timeliness, and Uniqueness. • Develop metadata-driven Data Quality frameworks and scorecards. • Build DQ dashboards and executive reporting for business and technology stakeholders. • Analyze data quality issues and drive remediation with business and application teams. • Establish Data Quality SLAs, thresholds, ownership, and governance processes. • Integrate DQ monitoring with Data Governance and Metadata Management platforms. • Support audit, compliance, regulatory, and reporting requirements. • Create quality trend reports, root cause analyses, and continuous improvement plans. • Collaborate with Data Stewards, Data Owners, Architects, and Analysts to improve enterprise data quality.Data Stewardship & Governance Enablement• Good to have Insurance Brokerage domain experience as needs to collaborate with Business Data Stewards and Data Owners to govern data quality processes.• Define stewardship responsibilities, escalation paths, ownership models, and issue resolution workflows.Roles & Responsibilities• Implement and administer DQLabs Data Quality platform and related data observability capabilities. • Profile source systems and identify Critical Data Elements (CDEs). • Define, configure, and maintain data quality rules for Completeness, Accuracy, Consistency, Validity, Timeliness, and Uniqueness. • Develop metadata-driven Data Quality frameworks and scorecards. • Build DQ dashboards and executive reporting for business and technology stakeholders. • Analyze data quality issues and drive remediation with business and application teams. • Establish Data Quality SLAs, thresholds, ownership, and governance processes. • Integrate DQ monitoring with Data Governance and Metadata Management platforms. • Support audit, compliance, regulatory, and reporting requirements. • Create quality trend reports, root cause analyses, and continuous improvement plans. • Collaborate with Data Stewards, Data Owners, Architects, and Analysts to improve enterprise data quality.Data Quality & Governance• 7+ years of Data Quality, Data Governance, or Data Management experience.• Strong understanding of CDEs, Business Glossary, Data Lineage, Metadata Management, and Data Stewardship.• Experience implementing enterprise Data Quality programs.• Knowledge of Data Quality dimensions and measurement frameworks.DQLabs / DQ Tools / Collibra / Informatica• Hands-on experience in DQLabs Insurance Brokerage experience is nice to haveData Stewardship & Governance Enablement• Good to have Insurance Brokerage domain experience as needs to collaborate with Business Data Stewards and Data Owners to govern data quality processes.• Define stewardship responsibilities, escalation paths, ownership models, and issue resolution workflows.

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