Data Analyst

Synergy Family Services, Inc. (SFS) is a dynamic Outpatient Mental Health Center focused on providing strengths based, culturally proficient services to enhance the social, emotional, behavioral health and wellness of individuals and families. Our Goal is to help individuals and families identify and reach goals such as specific symptom relief, self-awareness, self-efficacy, recovery and the enhancement of well being.

Job Summary: A Senior Data Analyst in the Quality Assurance (QA) department at SFS should have a combination of technical expertise, analytical abilities, and specialized skills to drive data-informed decision-making and uphold high standards of care. Below is a list of key skills required for this role:

Job Title: Senior Data Analyst

Job Type: Contractual, with an estimated commitment of approximately 20 hours per week.

Job Responsibilities:

• Collaborate with clinical, administrative, and QA team to understand their data needs and translate findings into actionable recommendations.
• Review, clean and analyze data for patterns and trend
• Prepare reports on data findings
• Structure large data sets to meet reporting needs
• Ensure that the data collected is accurate , complete, and up to date
• Use data to identify gaps or disparities in care to improve service delivery and quality of care
• Create visual representation using tools like Google sheets/Excel to communicate insights effectively
• Other duties as assigned

Qualifications:

1.Technical Skills: Data Management

• The individual should have expertise in managing, cleaning, and organizing large datasets from various sources including our Electronic Health Records (EHRs), surveys, and operational metrics.
• Proficiency in data extraction tools and techniques

Data Analysis and Statistical Expertise:

• Good knowledge of statistical methods to analyze trends and identify performance gaps.

Data Visualization:

• Skilled in creating visual representation using tools like Google sheets/Excel to communicate insights effectively.
• Ability to present complex data in a simple, accessible and actionable format for different stakeholders.

2.Behavioral Health Knowledge: Understanding of Behavioral Health Metrics

• Familiarity with key performance indicators (KPIs) in behavioral health.
• Knowledge of outcomes measurement specific to behavioral health settings.

Regulatory and Compliance Knowledge:

• Awareness of regulations such as HIPAA, CARF, and how they influence data collection, reporting, and quality improvement.

Clinical and Operational Insight:

• Understanding of workflows and processes in behavioral health services, including therapy, psychiatry, and case management, to contextualize data findings

3.Communication and Collaboration Skills:

Stakeholder Engagement:

• Ability to work closely with clinical, administrative, and QA team to understand their data needs and translate findings into actionable recommendations.
• Strong presentation skills to explain technical concepts and data insights to non-technical audiences.

Report Writing:

• Expertise in preparing detailed, clear, and concise reports that summarize findings, methodologies, and recommendations.
• Experience tailoring reports to meet the needs of diverse stakeholders, such as leadership, clinicians, and external auditors.

4.Project and Process Management:

• Project Oversight: Experience managing data projects, including setting timelines and ensuring deliverables meet quality standards.
• Process: Skilled in identifying inefficiencies in data collection and reporting processes and implementing improvements to enhance accuracy and timeliness.

5.Technological Proficiency: 

• Proficiency in using EHR platform and tools for data extraction and analysis.

6.Ethical and Confidentiality Standards:

•  Ability to mentor and supervise QA analysts and foster a culture of data literacy within the QA department.
• Commitment to maintaining the confidentiality and security of sensitive client and agency data in compliance with HIPAA and other regulations.
• Adherence to ethical standards in data handling, analysis, and reporting to ensure unbiased and accurate results.