Research Data Analyst - Health Analytics & Study Data (PTO Day 1)

Sioux Center Health; Sioux Falls (SD); On-site; USD 58,000 - 87,000; Full time

Benefits offered by this job

PTO day 1

5% employer retirement match

Career development and mentorship

Job summary

Avera Research Institute in Sioux Falls is seeking an Analyst to assist researchers with data analysis and management of large, complex data sets. You will define processes for data collection, build databases with metadata, and ensure data integrity across studies.

The role emphasizes statistical programming, data visualization, and collaboration with researchers to deliver robust findings for publications and reports.

Qualifications

• Bachelor's degree in a science or data-focused program.
• Experience with statistical programming and data management.
• Strong communication and collaboration in a research setting.

Responsibilities

• Support data quality and control processes to meet project goals.
• Build and manage complex research databases with metadata and data dictionaries.
• Assist in creating case report forms and data collection workflows.
• Document data management best practices for reports and analyses.
• Archive data and project materials with proper metadata.
• Use data visualization to summarize study results for reports and publications.
• Communicate data concepts clearly to researchers and staff at all levels.
• Engage with researchers to ensure proper data collection across study timelines.
• Maintain data integrity and reproducibility across activities.

Skills

Data quality

Data management

Data visualization

Communication

Team collaboration

Education

Bachelor's in Science, Math, Statistics or Data Science

Master's in relevant field (preferred)

Tools

R

SAS

SPSS

Python

REDCap

Job description

Avera Research Institute in Sioux Falls is seeking an Analyst to assist researchers with data analysis and management of large, complex data sets. You will define processes for data collection, build databases with metadata, and ensure data integrity across studies.

The role emphasizes statistical programming, data visualization, and collaboration with researchers to deliver robust findings for publications and reports.