Data Analyst II - Maternal Health Policy and Equity
About The Position
The Data Analyst II oversees data integrity, security, enhancement, movement, validation, and organization across systems, ensuring that data is available to appropriate people and systems. The role also develops and executes reports that support the practice as it develops and evaluates a new model of care. The Department of Population Health Science and Policy seeks a Data Analyst II to work on projects involving maternal health policy and equity, pregnancy-related influences on lifecourse cardiometabolic disease, school-level influences on adolescent preconception health, economic evaluation, and health services research. The analyst will be an integral member of research teams and collaborate with investigators—including epidemiologists, health economists, and OBGYNs—and other research team members on maternal health disparities and inequities. This is a one-year position with an opportunity for longer-term renewal. Mentorship and professional development opportunities are available. The ideal candidate is motivated, responsible, communicative, organized, detail-oriented, proactive while responsive to supervision, comfortable asking questions, eager to learn, and flexible as tasks change.
Requirements
- Bachelor’s degree in computer science, statistics, or a related field, or an equivalent combination of work experience and education.
- At least 3 years of analytics experience, including report development and database application or management experience.
- Excellent written and oral communication skills.
- Highly motivated and interested in developing a research career.
- Ability to work independently in a multidisciplinary setting.
Nice To Haves
- Master’s degree in a relevant field, such as statistics, epidemiology, or computer science.
- Analytics experience in a large medical center or healthcare environment.
- Strong quantitative skills and proficiency with data analysis tools such as STATA, SAS, and R.
- Experience with systems science modeling methodologies such as system dynamics and agent-based modeling.
Responsibilities
- Plan, organize, conduct, and communicate data-intensive analysis and research within the scope of cardiovascular disease prevention, economic evaluation, maternal health disparities, and health equity.
- Develop research skills in health services research and quantitative analysis.
- Engage in data management, regression-based data analysis, and manuscript writing.
- Guide and mentor research interns.
- Communicate and work with internal and external collaborators.
- Oversee data integrity, security, movement, validation, and organization, and ensure data is available to appropriate people and systems.
- Develop and execute reports to support the development and evaluation of a new model of care.
Benefits
- Mentorship and professional development opportunities.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
