Healthcare Data Analytics Specialist

Beth Israel Lahey Health; Boston (MA); Presencial; USD 73.000 - 94.000; Jornada completa

Descripción de la vacante

Beth Israel Lahey Health in Boston seeks a Healthcare Data Analyst to lead data acquisition, validation, and reporting to support quality and performance measurement. You will develop dashboards and analytic solutions to drive improvements and present insights to senior leadership.

The role requires the ability to work independently and with teams, translating data into actionable recommendations and ensuring data integrity across sources.

Formación

• Bachelor's degree in Computer Science, Mathematics, Allied Health or related required.
• 2-5 years related work experience.
• Strong experience in data management, analytics, reporting, visualizations and dashboards.

Responsabilidades

• Acquire, validate, and query data from data repositories and create dashboards and reports for end users.
• Work across teams to define problems, clarify objectives, and design collection tools and reports.
• Develop executive level presentations with key observations of statistical, financial and qualitative information.
• Stay abreast of healthcare trends and collaborate with decision support systems and IS teams.
• Ensure data integrity and data quality, regularly review data, identify trends, and communicate changes.

Conocimientos

Data management

Analytics

Reporting

Visualization

Dashboards

Educación

Bachelor's degree in Computer Science, Mathematics, Allied Health or related

Master's degree in Public Health, Finance, Epidemiology, Biostatistics or equivalent preferred

Descripción del empleo

Beth Israel Lahey Health in Boston seeks a Healthcare Data Analyst to lead data acquisition, validation, and reporting to support quality and performance measurement. You will develop dashboards and analytic solutions to drive improvements and present insights to senior leadership.

The role requires the ability to work independently and with teams, translating data into actionable recommendations and ensuring data integrity across sources.