Pediatric Quality and Safety Data Analyst

Medical University of South Carolina • Charleston, SC

6d

About The Position

The Pediatric Quality and Safety Data Analyst reports to the Pediatric Quality and Safety Manager. The role supports ICCE departments in establishing and maintaining their QAPI programs by extracting and organizing EMR data, conducting analysis, and completing strategic projects. The analyst identifies, analyzes, and interprets trends and patterns in complex data sets across multiple functional areas, including program evaluation, operations research, business planning, process design, strategy development, policy issues, profitability assessments, and major implementations.

The analyst abstracts, interprets, and presents complex data related to pediatric registries, quality improvement program standards, and national safety network metrics in an understandable and compelling manner. This work helps stakeholders develop projects based on identified trends.

Requirements

• Bachelor’s degree.
• Three years of demonstrated project support work experience.
• Lean Six Sigma Green Belt certification.
• Proficiency in MS Word, Excel, and PowerPoint.
• Ability to take direction and support a variety of projects.
• Professional and collaborative approach when working with stakeholders.
• Ability to exhibit efficiency, collaboration, candor, openness, and results orientation.

Nice To Haves

• Nursing degree with two years of clinical experience is strongly preferred.

Responsibilities

• Extract and organize EMR data.
• Analyze complex data sets and identify, analyze, and interpret trends or patterns across functional areas.
• Complete strategic projects supporting ICCE departments in establishing and maintaining QAPI programs.
• Abstract, interpret, and present data concerning pediatric registries, quality improvement program standards, and national safety network metrics.
• Work with ICCE leaders, clinicians, and other stakeholders to understand analytical needs and identify solutions.
• Anticipate data-related challenges and provide solutions to improve efficiency and decision-making.
• Conduct research and learn unfamiliar subject areas to support a variety of projects.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level