The Data Quality Analyst is responsible for monitoring and assessing the accuracy and integrity of the data within the Enterprise Data Warehouse (EDW). In collaboration with EDW and Business Intelligence Teams, the Data Quality Analyst will design, review, and refine data quality reports and alerts and take actions to remedy issues detected. This position will partner with the EDW Development Teams to ensure proper data quality checks are included in code and testing suites and escalate data quality issues to EDW leadership as needed.
Candidates hired for remote positions must reside in Oregon, Washington, Utah, Idaho, Arizona, Nevada, Texas, Montana, or Wisconsin.
Responsibilities
Assess the current state of data quality within the Enterprise Data Warehouse (EDW), running data profiling.
Participate in establishing, monitoring, and reporting on target goals for data quality improvement.
Identify optimal approaches for resolving data quality issues to achieve targets.
Work within and beyond EDW areas to implement improvement approaches.
Monitor and track ongoing data quality levels.
Ensure that adequate quality is maintained so the data can effectively support business processes.
Resolve and escalate data quality issues proactively and in a timely manner.
Work in a collaborative fashion with other Data Quality Analysts, ISBI resources and overall champion or sponsor the data governance/quality program.
Escalate issues exceeding the scope of this position to the data quality champion or other business leaders.
Influence changes to business processes and restrict access to applications and data to resolve or suspend behaviors impacting negatively on data quality.
Identify data quality metrics and execute data quality audits to benchmark the state of data quality.
Participate in development of monitoring and alerting solutions for identifying potential data quality issues.
Regularly monitor alerts and take appropriate actions to resolve issues before they impact business activities.
Regularly expose data quality metrics via standard reporting mechanisms, e.g., data quality scorecard or dashboard.
Engage with business leadership to quantify and articulate the business impact of data quality issues.
Follow prescribed data quality methodologies to execute data quality improvement projects.
Actively participate in the design and deployment of applications and data integration processes to ensure standards and controls to ensure high quality of data are implemented.
Publicize successes to further engage individuals at all levels of the organization.
Requirements:
Minimum 3 years relevant experience that includes some or all of the following:
Analyzing data quality and recommending process improvements
Continuously monitoring data quality and associated reports
Engaging both technical and non-technical stakeholders
Implementing data quality initiatives
Experience with Agile frameworks
Experience working in health care payer/managed care organizations
Preferred
Experience with Tableau, Snowflake and MS Azure cloud
Experience in planning or leading data quality initiatives
Experience with and basic knowledge of statistics, control charts and process controls
Experience with statistical software packages, such as Python, R or SAS
Experience in the healthcare or health insurance industry
Experience with managed care concepts and health plan business processes
Experience with Medicaid and Medicare programs
Experience applying system development methodologies
Data engineering and EDW/Systems architecture experience
Equal Employment Opportunity Policy
Talent Advisory Group provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.