Data Quality Analyst

CGI

$71K — $194K *
Healthcare
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years in Data Quality, Data Analysis, or ETL Validation
  • Strong SQL skills
  • Analytical and reconciliation experience
  • Excellent documentation and communication skills
  • Experience in ETL testing or migration validation
  • Healthcare data experience preferred

Responsibilities

  • Lead data validation activities for large-scale system implementations
  • Validate data across source and target systems
  • Investigate and resolve data discrepancies
  • Develop data validation methodologies and documentation
  • Collaborate with project managers and technical teams
  • Support production readiness and migration activities

Benefits

  • Competitive compensation
  • Comprehensive insurance options
  • 401(k) matching contributions and stock purchase plan
  • Paid time off for vacation, holidays, and sick time
  • Paid parental leave
  • Learning opportunities and tuition assistance
  • Wellness and well-being programs
Full Job Description
Data Quality Analyst

Category: Testing/Quality Assurance

Main location: United States, North Carolina, Raleigh

Position ID:J0726-2626

Employment Type: Full Time

Position Description:

We CGI is seeking to hire a meticulous Data Quality Analyst to drive enterprise data validation, reconciliation, and quality assurance for large scale system implementations and migrations.

The ideal candidate will have 5+ years of experience in data quality, ETL validation, or business intelligence-with healthcare data experience preferred-alongside strong SQL skills and advanced analytical troubleshooting capabilities. This role will partner closely with technical teams and project managers to validate data across source and target systems, resolve complex discrepancies, and ensure production readiness throughout the migration lifecycle.

This is a Full-Time, On-Site employment opportunity based in Raleigh, NC, Lafayette, LA, Hartford, CT, or St. Louis, MO in a Hybrid Model.

Your future duties and responsibilities:

Lead enterprise data validation activities supporting large scale system implementations and migrations while ensuring data quality and accuracy.

. Validate data across source and target systems.
. Investigate and resolve data discrepancies.
. Develop validation methodologies and documentation.
. Collaborate with project managers and technical teams.
. Support production readiness and migration activities.

Required qualifications to be successful in this role:

At least 5+ years in Data Quality, Data Analysis, ETL Validation, Business Intelligence, or Data Testing.
. Strong SQL skills.
. Strong analytical and reconciliation experience.
. Excellent documentation and communication skills.
. Experience supporting ETL testing or migration validation.
. Healthcare data experience preferred.

Education: Bachelor's degree in computer science or related field.

#LI-ARK1

CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $71,700.00 $194,000.00.

CGI's benefits are offered to eligible professionals on their first day of employment to include:
. Competitive compensation
. Comprehensive insurance options
. Matching contributions through the 401(k) plan and the share purchase plan
. Paid time off for vacation, holidays, and sick time
. Paid parental leave
. Learning opportunities and tuition assistance
. Wellness and Well being programs

Skills:
  • Data Analysis
  • Data Migration
  • Data Quality Management
  • Diagnostics & Resolution
  • ETL
  • Healthcare Information Tech.
  • Software Testing
  • SQL


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