The Enterprise Data Strategy team within Global Data & Analytics (GD&A) is built to help CIGNA drive that improvement in the accessibility and quality of our data assets and tools, and allow us to deliver data solutions faster than we do today. Our ultimate goal is to ensure Cigna’s ability to grow is unconstrained by any limitations of our data. The CIGNA Enterprise Data Strategy team is comprised of business and technical teams spanning Customer, Provider, Buyer and Intermediary Data Domains as well as foundational enterprise data teams. The Customer Data Domain team establishes customer data strategy through an Enterprise lens and ensures roadmap delivery for all enterprise customer data domain initiatives.
The Enterprise Data Quality Analyst - Customer Data Domain is a downstream data role that requires a candidate with strong data management background who understands data, how to ingest data, proper use/consumption, data quality, and stewardship. In this role you will partner with the Customer Domain Product Owner to perform data quality measurements and analyses to assess patterns, identify root cause, define data quality rules, champion automated measurement and partner with stakeholders to identify data improvement opportunities.
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 including automation to remediate issues, and implement processes to monitor data quality risks, including:
Analyzing data quality results
Measuring and auditing large volumes of data for quality issues and improvements
Performing root cause analysis of data anomalies
Triaging data quality issues
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
Lead efforts to 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 capabilities and results to stakeholders
5+ years’ experience managing the design, development, and continuous improvement of complex data, systems, tools, analysis and reporting
5+ years’ experience working with statistical analysis, object-oriented programming, data mining / model building, business intelligence, visualization methodologies and tools such as R, Python, SAS, Looker, Tableau, Hue and TOAD
Experience and working knowledge of data and analytics in a healthcare data management environment
Experience in migrating manual data quality processes to an automated, sustainable framework
Experience with Artificial Intelligence and Machine Learning technologies used to automate processes preferred
Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.If you require an accommodation based on your physical or mental disability please email: SeeYourself@cigna.com. Do not email SeeYourself@cigna.com for an update on your application or to provide your resume as you will not receive a response.