Possition Summary
The Data Analyst supports the Family Service Center by collecting, analyzing, and reporting data to improve program outcomes, operational efficiency, and financial performance. This role plays a critical part in monitoring service utilization, evaluating program effectiveness, supporting revenue cycle activities, and ensuring compliance with regulatory and funding requirements.
The Data Analyst works cross-functionally with clinical, non-clinical, finance, and leadership teams to turn data into actionable insights that support decision-making and enhance service delivery to individuals and families.
Key Responsibilities:
Data Collection & Management
- Extract, compile, and validate data from EHR/EMR systems, billing platforms, and other internal databases
- Ensure accuracy, completeness, and integrity of client, service, and financial data
- Maintain data tracking tools for programs (mental health, prevention, case management, etc.)
- Develop and manage data dictionaries and standardized reporting definitions
Reporting & Dashboard Development
- Create and maintain recurring reports (daily, weekly, monthly) for leadership and program teams
- Develop dashboards to track:
- Service utilization
- Client demographics
- No-show rates
- Staff productivity
- Revenue cycle metrics (claims, denials, collections)
- Translate complex data into clear, user-friendly visuals and summaries
Program Evaluation & Outcomes Tracking
- Support evaluation of program effectiveness and community impact
- Track key performance indicators (KPIs) aligned with grant and contract requirements
- Assist with outcome measurement and continuous quality improvement (CQI) initiatives
Compliance & Documentation
- Maintain accurate and timely documentation of services, attendance, and outcomes
- Ensure all activities align with ethical standards, funding requirements, and agency policies
Revenue Cycle & Financial Data Support
- Analyze front-end and back-end revenue cycle data to identify issues impacting reimbursement
- Monitor trends in eligibility errors, denied claims, and payment delays
- Partner with billing and finance teams to improve revenue integrity
- Support forecasting and budgeting through data insights
- Identify trends, gaps, and opportunities for service improvement
Compliance & Regulatory Reporting
- Assist with reporting requirements for Medicaid, funders, and oversight entities
- Ensure data handling aligns with HIPAA and organizational policies
- Support audits by providing accurate and timely data reports
- Maintain confidentiality and security of all client and organizational data
Data Quality & Process Improvement
- Conduct routine data audits to identify inconsistencies or errors
- Recommend and implement process improvements for data entry and reporting workflows
- Train staff on data accuracy best practices (intake, documentation, systems use)
- Collaborate with IT to improve system functionality and reporting capabilities
Cross-Functional Collaboration
- Work with program managers, clinicians, and administrative staff to understand data needs
- Provide data support for grant applications and reporting
- Present findings and recommendations to leadership in a clear, actionable format
Minimum Qualifications
- Bachelor’s degree in Data Analytics, Public Health, Health Administration, Statistics, Social Sciences, or related field
- 2–4 years of experience in data analysis, preferably in healthcare, behavioral health, or nonprofit settings
- Experience working with databases, reporting tools, and spreadsheets (e.g., Excel, SQL, Power BI, Tableau)
Preferred Qualifications
- Experience in behavioral health, community-based services, or Family Service Centers
- Knowledge of Medicaid and managed care data
- Familiarity with EHR/EMR systems and billing platforms
- Experience with grant reporting and outcome measurement
Key Skills & Competencies
- Strong analytical and problem-solving skills
- Attention to detail and high level of accuracy
- Ability to translate data into meaningful insights for non-technical audiences
- Knowledge of data visualization best practices
- Understanding of healthcare privacy and compliance standards
- Strong communication and collaboration skills
Work Environment
- Office-based with frequent cross-department collaboration
- May require occasional travel between service sites
- Hybrid work option (if applicable)
Performance Metrics
- Accuracy and timeliness of reports
- Reduction in data errors or inconsistencies
- Improved visibility into program and revenue cycle performance
- Timely completion of grant and compliance reporting
- Stakeholder satisfaction with data support