Quality Assurance Data Analyst

United Cerebral Palsy Heartland
St. Louis, United States of America
14 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
$ 66K

Job location

Remote
St. Louis, United States of America

Tech stack

Microsoft Excel
Data analysis
Information Systems
Databases
Data Governance
Data Integrity
Data Visualization
Desktop Computing
Health Information Management
Pivot Tables
Power BI
SQL Databases
Tableau
Electronic Medical Records
Information Technology
Data Analytics
Tools for Reporting

Job description

The QA Data Analyst is responsible for managing quality data, reporting, dashboards, and system integrity to support regulatory compliance and Continuous Quality Improvement (CQI). This position collects, analyzes, and interprets data to support organizational decision-making, accreditation standards (e.g., CARF, NAEYC), regulatory compliance, and improved outcomes for individuals served by UCP Heartland through meaningful, actionable insights., * 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.

Requirements

Analytical Thinking

Demonstrates the ability to independently analyze complex datasets, identify trends, detect risks, and translate findings into actionable recommendations that support quality improvement, regulatory compliance, and organizational decision-making.

Technical Proficiency

Maintains proficiency in Electronic Health Record systems, databases, Microsoft Excel, reporting platforms, and business intelligence tools used to collect, analyze, manage, and visualize quality data while ensuring system integrity.

Accuracy and Attention to Detail

Produces accurate, reliable, and audit-ready reports by maintaining high standards of data quality, documentation, and analytical precision.

Communication

Presents technical information and analytical findings in a clear, concise, and meaningful manner appropriate for both technical and non-technical audiences.

Continuous Improvement

Uses data to identify opportunities for improvement, evaluate organizational performance, and support evidence-based decision-making across programs.

Minimum Employment Standards

  • 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.

Preferred Employment Standards

  • 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.

Apply for this position