Data Analyst, Part-Time, Hybrid

Mass General BrighamBoston, MA
Hybrid

About The Position

Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham. The Data Analyst supports the collection, management, analysis, and reporting of clinical and quality data for the Comprehensive Stroke Center. This role ensures data accuracy and integrity, drives insight into performance metrics, and helps sustain compliance with The Joint Commission (TJC) standards, national stroke performance measures, and internal quality improvement goals. Perfect position for MPH student interested in quality and data analytics. Responsible for extracting knowledge and insights from data in order to investigate business/operational problems through a range of data preparation, modeling, analysis, and/or visualization techniques.

Requirements

  • Bachelor's Degree Analysis required or Bachelor's Degree Related Field of Study required
  • Experience working with data, preferably healthcare data 2-3 years required
  • Proficiency with Microsoft Office Suite, including Word, Excel and PowerPoint.

Nice To Haves

  • Healthcare knowledge, particularly as it pertains to electronic medical record data, is preferred but not required.
  • Working knowledge of relational databases, SQL, data visualization, and Business Intelligence tools such as Tableau.
  • Knowledge and application of statistical analyses, including variance analysis and statistical significance, are preferred.
  • Project management skills and/or experience are a plus.

Responsibilities

  • Collects, analyzes, and reports data to support decisions on day-to-day operations, strategic planning, and/or specific business performance issues.
  • Collates, models, interprets, and analyzes data.
  • Explains variances and trends in data.
  • Identifies and documents enhancements to modeling techniques.
  • Completes thorough quality assurance procedures, ensuring accuracy, reliability, trustworthiness, and validity of work.
  • Performs data validation of source-to-target data for data visuals and dashboards.
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