Data & Quality Improvement Analyst I

DelDOT; Newark (DE); Presencial; USD 55.000 - 76.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Comprehensive benefits

Employee assistance program

Disability accommodations

Descripción de la vacante

Delaware Department of Health and Social Services (DHSS) is seeking a data analyst to collect and analyze data from multiple service lines to assess efficiency and program compliance. The role supports quality assurance, quality improvement, and operational improvement initiatives and helps implement new tracking systems for reimbursement optimization.

The candidate should have a bachelor’s degree with coursework in statistics, plus experience in descriptive and inferential statistics and

Formación

• Bachelor's degree or higher including coursework in conducting studies, descriptive statistics and inferential statistics.
• Experience in conducting studies to evaluate operations, programs, services and procedures.
• Experience with narrative reporting and data interpretation.

Responsabilidades

• Gathers data from multiple service lines to evaluate efficiency and compliance.
• Performs statistical analysis and interprets data to inform management decisions.
• Develops and recommends improvements to operational practices.
• Analyzes and evaluates effectiveness of operations in meeting goals.
• Provides technical assistance on management objectives and controls.
• Documents findings and recommends new systems or procedures.

Conocimientos

Descriptive statistics

Inferential statistics

Data analysis

Narrative report writing

Quality assurance

Educación

Bachelor's degree or higher including coursework in conducting studies

Descripción del empleo

Delaware Department of Health and Social Services (DHSS) is seeking a data analyst to collect and analyze data from multiple service lines to assess efficiency and program compliance. The role supports quality assurance, quality improvement, and operational improvement initiatives and helps implement new tracking systems for reimbursement optimization.

The candidate should have a bachelor’s degree with coursework in statistics, plus experience in descriptive and inferential statistics and