Data Analyst

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.

Job Summary

Qualifications

Education

• Bachelors degree in a related field of study required
• Masters degree preferred but not required (MS, MA, or MPH), preferably focusing on applied mathematics, decision science, data science, biostatistics, statistics, computer science, computational biology and/or economics, with a strong background in quantitative coursework and research.

Experience

• Minimum 2 years of research experience (inclusive of graduate studies) in the fields of simulation modeling, statistical analysis, econometrics, health policy, computer science, or related field.

Knowledge, Skills and Abilities

• Building proficiency in statistics, data analysis, and data sets.
• Proficient in time management and project management skills.
• Ability to exercise sound judgment to make decisions within the scope of job responsibilities.
• Demonstrated knowledge of and skill in word processing, spreadsheet, and database PC applications.
• Solid quantitative, analytical, and technical aptitude skills.
• Participate in dealing with all levels of employees /management and building proficient relationships with teams and all organizational customers.
• Able to find and define problems, understand business impact, identify solutions, and provide recommendations for corrective action.

Additional Job Details (if applicable)

• Remote Type
• Work Location
• Scheduled Weekly Hours
• Employee Type
• Work Shift
• Pay Range
• Grade

EEO Statement:

Mass General Brigham Competency Framework

At Mass General Brigham, our competency framework defines what effective leadership "looks like" by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.