Enterprise Data Quality Analyst - Customer Data Domain


Enterprise Data Quality Analyst - Customer Data Domain


• Implement data quality rules, automated measurement / monitoring, issues management framework, operational dashboards, and predictive models for proactive data quality assessment and identification of improvement opportunities

• Work with source systems and downstream data consumers to apply advanced data quality techniques through automation to remediate issues, and implement processes to monitor data quality risks, including:o Understand data quality resultso Measuring and auditing large volumes of data for quality issues and improvementso Performing root cause analysis of data anomalieso Triaging data quality issues and creating remediation planso Evaluating and quantifying business impact of data quality issues and making recommendations for data improvements including required process and system changes

• Develop data quality policies, procedures, best practices, and related knowledge content

• Collaborate with stakeholders to ensure data quality best practices are implemented across enterprise data assets

• Communicate quality of enterprise data assets and the value realized through data improvement efforts

• Orchestrate data quality work within the Agile framework and other methodologies where required for on-time delivery of data quality measures and results to stakeholders


The Enterprise Data Quality Analyst - Customer Data Domain requires a candidate with strong data management background who understands data, data ingestion, proper use/consumption, data quality, and stewardship. In this role you will perform data quality processes, measurements to assess patterns, identify root cause, define data quality rules, work with automated measurement and partner with stakeholders to identify data improvement opportunities.Skill Set / Years of Experience / Proficiency Leveldata quality analysis, root cause investigations, and remediation (not application testing).5+ / Intermediateworking with data tools such as SQL, R, Python, SAS, Looker, Tableau, Hue and TOAD5+ / IntermediateExperience and working knowledge of data in a healthcare data management environment3+ / IntermediateExperience in migrating manual data quality processes to an automated, sustainable framework3+ / IntermediateDESIRED QUALIFICATIONS/NON-ESSENTIAL SKILLS REQUIREDSkill Set /Years of Experience / Proficiency LevelWorking for a consulting company / 3+ / ConsultantTeam lead experience / 3+ / TechnologyBusiness development / 2+ / Beginner levelMinimum Education Required: Bachelors Degree

How to Apply:

Apply online at https://www.cgi.com/en/careers

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Location: Lafayette, LA
Date Posted: January 26, 2021
Application Deadline: February 26, 2021