Quality Measures Data Analyst

Central Health•Austin, TX

2d•Hybrid

About The Position

The Quality Measures Data Analyst will provide measure selection and data analysis expertise in support of Central Health’s Quality and Population Health initiatives. This team member will also participate in the selection, documentation, analysis, interpretation and reporting of clinical quality measures. The Quality Measures Data Analyst will also contribute to the design and development of data warehouses, performance dashboards and other systems that respond to the needs of an integrated network of physicians, safety net providers and hospitals to advance care that is patient centered and data driven. This position is considered Hybrid, which means that individuals in this position may work both at an approved Offsite location and Onsite at a primary location or multiple locations based on Business Needs.

Requirements

Knowledge of: Healthcare quality measures for ambulatory, specialty, and inpatient settings (HEDIS, PQRS, NQF, AHRQ, CMS, etc.)
Healthcare reform and transformation initiatives
Principles and practices of project management and performance improvement
Data privacy practices and laws (e.g., HIPAA)
Skill in: Tableau
SQL
R or Python scripting
Microsoft Office with emphasis in Word, Excel, PowerPoint, and Visio
Critical Thinking, analysis, and problems solving
Writing documentation, standard operating procedures, user guides, and similar products to clearly disseminate information to an enterprise-wide audience
Ability to: Prioritize work and remain detailed oriented
Communicate complex information in clear and unambiguous terms
Collaborate effectively with team members, leadership, and internal and external customers
Bachelor’s degree in statistics, economics, finance, business, accounting, science, healthcare, social science, mathematics or any field conductive to the development of critical and analytical thinking skills.
Three (3) years of experience analyzing and reporting healthcare data.
Two (2) years’ experience in using SQL or Python scripting for databases queries.

Nice To Haves

Master’s degree in public health (epidemiology or biostatistics), public affairs, public policy or a clinical field such as nursing, medical assistant or similar is preferred.
Experience developing timeliness and work plans for data collection activities.
Experience conducting clinical or data quality assessments and audits.
Experience with patient throughput in the clinical setting.
Experience using statistical analysis software such as R or Python.
Certified Professional in Healthcare Quality (CPHQ) or the ability to obtain certification within six (6) months of employment.

Responsibilities

Prepares presentations and recurring and ad hoc reports to support the Quality, Assessment, and Improvement Department
Researches and selects clinical, financial, operational, and other measures used to provide quality and performance insight and decision support
Collects and documents business requirements from dashboard requestors, advises on source data and choice of visualization, and communicates requirements to dashboard developer/analysts
Develops and presents data reports and other complex information to executive leadership, board committees, provider partners, and stakeholders
Researches national, regional, and internal best practices/benchmarks and makes recommendations for change as appropriate
Analyzes, develops, identifies and troubleshoots data, data sources, and data anomalies
Assist with identifying opportunities for improvement and developing solutions using established performance improvement methodologies
Collaborates with internal and external clinical and administrative partners to develop metrics and to identify data sources and data collection methods
Provides education and consultation to staff throughout Central Health and contracted providers regarding measure calculation, reporting requirements and associated impact
Requires the use of independent judgement based on experience and industry knowledge 75 % of the time.
Detail-oriented to ensure accuracy.
Supports measurement and system improvement
Assist in the design and development of data warehouses
Design and develop performance reports and dashboard
Develop and maintain a metrics library