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Quality Analyst - Job Opportunity at Clifford W Beers Guidance Clinic Incorporated

New Haven, US
Part-time
Mid-level
Posted: August 1, 2025
On-site
USD 22-25 per hour

Key Responsibilities

Lead comprehensive data integrity initiatives across organizational dashboards, ensuring real-time accuracy that directly impacts clinical decision-making and program effectiveness
Execute advanced data auditing processes using statistical methods to identify anomalies and implement systematic corrective measures that prevent future data quality issues
Transform complex healthcare datasets through sophisticated Python, R, and SQL programming to enable evidence-based program improvements and regulatory compliance
Drive cross-functional collaboration with clinical teams to establish robust data capture protocols that support both immediate operational needs and long-term research objectives
Architect outcome measurement frameworks that translate program performance into actionable insights for stakeholders and funding organizations
Champion continuous quality improvement initiatives by delivering analytical reports that identify root causes and support strategic organizational decision-making
Establish documentation standards and knowledge management systems that ensure sustainability of data processes and institutional memory retention
Develop automated reporting solutions and technical infrastructure that reduces manual workload while improving data accessibility for decision-makers
Contribute strategic analytical support to departmental initiatives and special projects that advance the organization's mission and competitive positioning

Requirements

Education

Bachelor's degree in Data Analytics, Public Health, Computer Science, Psychology, Social Science, or a related field required. Master's degree preferred.

Experience

Minimum 2–4 years of experience in data analysis, research, quality assurance, or outcome monitoring ideally in a healthcare, nonprofit, or social service setting.

Required Skills

Demonstrated experience using Python or R for data cleaning, analysis, and visualization Experience working with large datasets and writing advanced Excel formulas and SQL queries
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Sauge AI Market Intelligence

Industry Trends

Healthcare data analytics is experiencing unprecedented growth driven by value-based care initiatives, with organizations increasingly required to demonstrate measurable outcomes to secure funding and maintain accreditation. Mental health and behavioral health organizations, in particular, are under pressure to provide evidence-based reporting to justify program effectiveness and secure continued support from state agencies and insurance providers. The integration of electronic health records (EHRs) with quality management systems is creating new opportunities for real-time performance monitoring and predictive analytics in behavioral health settings. Organizations are investing heavily in data infrastructure to support population health management and risk stratification capabilities. Regulatory compliance requirements, including HIPAA, state reporting mandates, and accreditation standards from organizations like CARF and Joint Commission, are driving demand for specialized quality analysts who understand both technical data management and healthcare regulatory frameworks.

Salary Evaluation

The hourly rate of $22-25 appears below market value for a mid-level Quality Analyst position requiring advanced technical skills. Typical compensation for similar roles in the Northeast healthcare sector ranges from $28-35 per hour, with the lower rate potentially reflecting the part-time nature, nonprofit sector, or specific geographic market conditions in New Haven.

Role Significance

Typical Quality, Analytics, and Research departments in mid-sized behavioral health organizations consist of 3-6 professionals, with this analyst likely working closely with 1-2 senior researchers, a department director, and supporting 15-25 program staff across the organization.
This mid-level position represents a critical technical role within the organization's quality infrastructure, with significant autonomy in data management decisions and direct impact on organizational performance measurement. The analyst serves as a bridge between technical data capabilities and clinical/administrative stakeholders.

Key Projects

Implementation of automated outcome tracking systems for clinical programs, including depression screening protocols, treatment adherence monitoring, and patient satisfaction measurement initiatives Development of predictive models for patient risk stratification and early intervention identification, supporting proactive care management and resource allocation decisions Creation of regulatory compliance dashboards for state reporting requirements, accreditation maintenance, and grant performance monitoring that directly impact organizational funding sustainability

Success Factors

Technical proficiency in multiple programming languages combined with deep understanding of healthcare data standards, privacy regulations, and clinical workflow requirements that enable effective translation between technical capabilities and operational needs Strong collaborative skills to work effectively with clinical staff who may have limited technical backgrounds, requiring the ability to explain complex analytical concepts in accessible terms while gathering accurate requirements for data solutions Detail-oriented approach to data quality management with systematic thinking skills that enable identification of root causes in data integrity issues and development of sustainable process improvements

Market Demand

High demand exists for quality analysts with healthcare experience and advanced technical skills, particularly in behavioral health organizations facing increased scrutiny from funders and regulators. The combination of Python/R programming skills with healthcare domain knowledge creates a specialized niche with limited talent supply.

Important Skills

Critical Skills

Python and R programming skills are essential for handling the complex data transformations required in behavioral health settings, where data often comes from multiple sources including clinical assessments, billing systems, and program tracking databases that require sophisticated cleaning and integration processes SQL database management expertise is crucial for maintaining data integrity across the organization's information systems, enabling efficient querying of large datasets while ensuring compliance with healthcare privacy regulations and audit requirements Healthcare domain knowledge combined with quality improvement methodologies enables effective translation of clinical concepts into measurable indicators and supports meaningful interpretation of analytical results for non-technical stakeholders

Beneficial Skills

Experience with data visualization tools like Tableau or Power BI would enhance dashboard development capabilities and improve stakeholder engagement with analytical insights Knowledge of statistical analysis methods for healthcare research, including survival analysis, regression modeling, and clinical significance testing, would support more sophisticated outcome evaluation projects Familiarity with healthcare data standards such as HL7, ICD-10 coding, and behavioral health assessment instruments would facilitate more efficient data integration and reporting processes

Unique Aspects

The combination of clinical outcome measurement with quality improvement analytics in a behavioral health setting provides exposure to specialized methodologies like validated mental health screening instruments, treatment fidelity monitoring, and trauma-informed care metrics that are distinct from general healthcare analytics
Working within a community-based nonprofit organization offers direct visibility into program impact and client outcomes, providing meaningful connection to mission-driven work while developing skills in resource-constrained analytical environments
The part-time structure may appeal to professionals seeking work-life balance or those transitioning between roles, while still providing substantive analytical experience in a specialized healthcare domain

Career Growth

Career progression typically occurs within 2-3 years for high-performing analysts, with advancement opportunities accelerated by the current shortage of qualified healthcare data professionals and growing organizational investment in quality improvement infrastructure.

Potential Next Roles

Senior Quality Analyst or Data Scientist positions within larger healthcare systems, focusing on advanced predictive modeling and population health analytics Quality Improvement Manager roles that combine analytical expertise with program management responsibilities, overseeing continuous improvement initiatives across clinical programs Health Informatics Specialist positions in hospital systems or health technology companies, leveraging both technical skills and healthcare domain knowledge

Company Overview

Clifford W Beers Guidance Clinic Incorporated

Clifford W Beers Guidance Clinic is a well-established behavioral health organization serving the New Haven community, with a history dating back over a century of providing mental health and substance abuse services. The organization operates multiple programs including outpatient therapy, school-based services, and community prevention initiatives, positioning it as a significant regional provider in Connecticut's behavioral health landscape.

As a mid-sized nonprofit behavioral health provider, the organization competes with larger health systems and specialized mental health organizations for both clients and funding. The investment in dedicated quality analytics infrastructure suggests organizational maturity and commitment to evidence-based practice that enhances competitive positioning for grant funding and contracts.
New Haven's position as home to Yale University and a major healthcare hub creates both opportunities and challenges, with access to educated talent pools but also competition from academic medical centers and research institutions for qualified analytical professionals.
Nonprofit behavioral health organizations typically emphasize mission-driven work with collaborative, multidisciplinary team environments. The focus on quality improvement and data-driven decision making suggests a progressive organizational culture that values continuous learning and evidence-based practice.
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