Data Analyst I: Research & Data Management

Mount Sinai; New York (NY); On-site; USD 66,000 - 74,000; Full time

Job summary

The Mount Sinai Health System in New York, NY is seeking a Data Analyst I to implement best data management practices, improve data quality, and deliver analyzable databases within project timelines for AIM-UP and related research.

You will manage and analyze survey data from thousands of participants, use R and SQL to clean and merge datasets, develop automated quality reports, and support manuscripts with tables and figures.

Qualifications

• Bachelors degree in CS, statistics or related field.
• 2–3 years database application/management experience.
• Masters degree in relevant field preferred.

Responsibilities

• Designs and writes custom applications for data entry, management and reporting.
• Develops data management plans and guidelines ensuring quality data on schedule.
• Identifies and resolves data management issues arising during studies.
• Trains staff on electronic/remote record-keeping systems to improve data quality.
• Assists with queries and generating statistical analyses for researchers.
• Maintains knowledge of data management regulations and technologies.
• Uses R to clean/merge large datasets and SQL to query data.
• Develops automated data quality reports, tables, and figures.
• Uses REDCap API to automate data imports/exports.
• Supports longitudinal and clustered data analyses.

Skills

Analytical skills

Attention to detail

Education

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

Master's degree preferred

Tools

REDCap

R

SQL

Job description

The Mount Sinai Health System in New York, NY is seeking a Data Analyst I to implement best data management practices, improve data quality, and deliver analyzable databases within project timelines for AIM-UP and related research.

You will manage and analyze survey data from thousands of participants, use R and SQL to clean and merge datasets, develop automated quality reports, and support manuscripts with tables and figures.