Healthcare Data Analyst I

Mount Sinai; United States; On-site; USD 66,000 - 74,000; Full time

Job summary

Mount Sinai Health System in New York is seeking a Data Analyst I to implement best information technology data management practices, improve data quality, streamline data cleaning efforts, and deliver analyzable databases within project timelines.

The role involves designing databases, supporting researchers with analyses, and working with tools such as R, SQL, REDCap, and ArcPy while ensuring HIPAA compliance and data security.

Qualifications

• Bachelor’s degree in computer science, statistics and/or related field required; master’s preferred.
• 2–3 years database application/management experience in a healthcare setting.
• Experience with data manipulation in R (dplyr, dates) and basic SQL in Minerva; Python a plus.

Responsibilities

• Designs and writes custom applications to ensure the database meets requirements for the entry, management and reporting of data.
• Assists in the development of data management plans and guidelines that deliver accurate, timely data with quality.
• Identifies and implements solutions to data management issues during research studies.
• Assists staff with technical issues related to electronic and remote record keeping systems; trains staff to help improve data quality.
• Assists medical students, interns, residents and/or faculty with queries and generating statistical analyses.
• Maintains knowledge of current regulations and technologies related to data management.
• May write manuscripts and other materials for internal and external audiences.
• Performs other related duties.

Skills

MS Excel

MS Word

Microsoft Access

SQL

SSPS/SAS

Education

Bachelor’s degree in computer science, statistics and/or related field

Master’s degree in relevant field

Tools

Minerva

Python

REDCap

ArcPy

GIS

Job description

Mount Sinai Health System in New York is seeking a Data Analyst I to implement best information technology data management practices, improve data quality, streamline data cleaning efforts, and deliver analyzable databases within project timelines.

The role involves designing databases, supporting researchers with analyses, and working with tools such as R, SQL, REDCap, and ArcPy while ensuring HIPAA compliance and data security.