Data Analyst II - Population Health Science & Policy

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Job Overview

The Data Analyst II - Population Health Science & Policy at Mount Sinai Morningside will play a pivotal role in utilizing data analytics to inform and optimize population health initiatives. The incumbent will be responsible for collecting, analyzing, and interpreting health data to support policy-making processes and improve patient outcomes. As a key member of the team, the Data Analyst will collaborate with healthcare professionals and stakeholders to develop data-driven strategies, leverage statistical methods, and contribute to research projects aimed at enhancing community health.

Job Responsibilities

• Collect, process, and analyze complex datasets related to population health, ensuring accuracy and reliability of findings.
• Develop and maintain dashboards and visualizations to present data insights to stakeholders.
• Apply statistical methods to evaluate health programs and policies, providing actionable recommendations.
• Collaborate with cross-functional teams to design and implement research studies and evaluations.
• Prepare reports and presentations to communicate findings to various audiences, including clinicians and policymakers.
• Stay current with relevant literature and best practices in population health science and data analysis.

Qualifications

• Bachelor's degree in Public Health, Data Science, Statistics, or a related field; Master’s degree preferred.
• A minimum of 3 years of experience in data analysis, preferably in a healthcare or public health setting.
• Proficiency in statistical software such as R, SAS, or Python.
• Strong skills in data visualization tools such as Tableau or Power BI.
• Excellent analytical and problem-solving skills, with a keen attention to detail.
• Effective communication skills, capable of presenting complex data to non-technical stakeholders.

Technologies & Tools

The Data Analyst II will utilize a range of technologies and tools in this role, including statistical software packages such as R or SAS for data analysis, Tableau or Power BI for data visualization, and SQL for database querying and management. Familiarity with electronic health record systems and population health management platforms is also essential to efficiently access and analyze relevant data.

Ideal Candidates

Ideal candidates for the Data Analyst II position possess a strong analytical mindset and a passion for improving population health through data-driven insights. They are detail-oriented, proactive, and capable of working collaboratively in a multidisciplinary environment. A successful candidate will have a strong commitment to the mission of advancing healthcare quality and access, demonstrating both interpersonal skills and technical expertise necessary for impactful decision-making.