[Remote] Quality Assurance Data Analyst
Note: The job is a remote job and is open to candidates in USA. UCP Heartland is dedicated to supporting individuals with disabilities, and they are seeking a QA Data Analyst to manage quality data and reporting for regulatory compliance and quality improvement. This role involves collecting and analyzing data to support decision-making and improve outcomes for the individuals served.
Responsibilities
- Collect, validate, and maintain quality data from multiple sources, including audits, investigations, incident reports, inspections, surveys, and program evaluations
- Extract, analyze, and interpret data from Electronic Health Record (EHR) systems, including SETWorks and CentralReach
- Develop, maintain, and optimize databases, dashboards, scorecards, and reporting tools that support Quality Assurance and Continuous Quality Improvement activities
- Analyze trends, patterns, and key performance indicators (KPIs) related to quality, compliance, service delivery, risk management, and client outcomes
- Ensure data integrity, accuracy, consistency, and security across multiple systems and reporting platforms
- Prepare routine, ad hoc, and executive-level reports for leadership, program managers, funding agencies, accreditation bodies, and other stakeholders
- Design and maintain clear, effective data visualizations that communicate findings and support informed decision-making
- Identify systemic issues, recurring trends, and organizational risks through quantitative and qualitative data analysis
- Conduct audits, reviews, investigations, observations, and health and safety inspections to collect and validate quality data
- Provide analytical support for all Quality Assurance and Continuous Quality Improvement initiatives through ongoing data collection, monitoring, and reporting
- Monitor compliance with internal policies, funding requirements, licensing regulations, and accreditation standards
- Track corrective actions, performance improvement plans, and organizational outcome measures to evaluate effectiveness over time
- Conduct root cause analyses to identify contributing factors and recommend data-informed improvement strategies
- Maintain Electronic Health Record databases and create or modify custom forms, fields, reports, and workflows to improve data collection and reporting capabilities
- Recommend and implement improvements to data collection methods, reporting processes, dashboard functionality, and Quality Assurance workflows
- Support the development, maintenance, and continuous improvement of Quality Assurance tracking systems and databases
- Provide training and technical support to staff regarding data entry standards, reporting tools, dashboard utilization, and data literacy
- Analyze data from both database and non-database sources to support organizational performance measurement and strategic improvement initiatives
- Perform other duties as assigned
Skills
- Bachelor's degree in data Analytics, Health Information Management, Computer Science, Business Analytics, Public Health, Statistics, Information Systems, or a related field; or an equivalent combination of education and experience
- Advanced proficiency with computers, databases, and data analysis tools
- Advanced proficiency in Microsoft Excel, including PivotTables, formulas, charts, and data analysis functions
- Experience working with Electronic Health Record (EHR) systems
- Experience developing dashboards, reports, and data visualizations
- Strong analytical, problem-solving, and critical thinking skills
- Excellent written, verbal, and interpersonal communication skills
- Ability to organize multiple priorities while maintaining accuracy and meeting deadlines
- Ability to work independently and collaboratively in a team environment
- Experience with SETWorks and/or CentralReach
- Experience supporting Quality Assurance or Continuous Quality Improvement programs
- Experience working in healthcare, behavioral health, human services, or services for individuals with intellectual and developmental disabilities
- Experience with CARF, NAEYC, or other accreditation standards
- Experience using Microsoft Power BI, Tableau, SQL, or other business intelligence and reporting tools
- Knowledge of data governance, data quality management, and performance measurement methodologies
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