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# Ataccama Data Quality Analyst

- **Company:** Cgi Inc.
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $71,700.0
- **Contract:** Permanent contract
- **Skills:** Data Governance, Data Mapping, Technical Data Management Systems
- **Published:** September 27, 2026
- **Apply:** https://www.thejobnetwork.com/job/ataccama-data-quality-analyst-509980119

## About the Role

Demonstrated hands on experience with Ataccama ONE Desktop
Strong experience building and configuring data quality rules within Ataccama ONE
Experience gathering requirements from business stakeholders and translating them into technical data quality rules
Experience creating data mappings and plans within Ataccama
Ability to work directly with business and technical stakeholders in an implementation environment
Strong troubleshooting and analytical skills focused on practical Data Quality implementation
Ability to work independently and contribute effectively within an existing Data Governance/Data Quality team

Required qualifications to be successful in this role:

3+ years' experience in:

Experience supporting utility, energy, or public sector organizations
Located in or near the New York area and willing to work remotely to support client hours
Broader familiarity with Ataccama ONE capabilities beyond Data Quality, including governance and catalog functionality
Experience working in an established enterprise Data Governance or Data Quality program, * Data Management

 * Data Mapping
 * Data Quality Management
 * Requirement Management
 * Quality assurance

## Description

Gather and clarify data quality requirements directly with business stakeholders
Translate business requirements into executable data quality rules within Ataccama ONE Desktop
Build, configure, test, and refine data quality rules and associated configurations
Create and maintain data mappings and plans within Ataccama
Collaborate with Data Governance and Data Quality team members to deliver implementation work
Troubleshoot configuration and rule issues and make adjustments to support expected outcomes
Validate data quality logic and results with technical and business stakeholders
Document implemented rules, mappings, and related configuration as needed
Execute efficiently within an established Data Quality program with minimal ramp up


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