Senior Data Analyst at NYU Langone Health in New York, NY
Position
Summary:
We have an exciting opportunity to join our team as a Sr. Data Analyst. Using advanced statistical techniques and programming skills, the Senior Data Analyst executes complex analysis of research initiatives related to health policy, health choice/behavior, health economics, and population health at the NYU Grossman School of Medicine, Department of Population Health. The position independently leads, develops and completes analyses of large administrative data from conceptualization through presentation. This includes making decisions and recommendations about techniques, scope, and approaches appropriate to the research studies. Current projects include working with an array of New York City agencies' data to assess the impact of the COVID-19 pandemic on disparities in health and well-being among NYC children, and investigating national supermarket and restaurant sales data to evaluate the influence of food policies. Job
Responsibilities:
Define scope and selection of advanced statistical techniques according to study design, including cross-sectional, time series, and difference-in-differences Work effectively with large, complex, and noisy administrative data to solve challenging problems Efficiently query and maintain large, administrative data; write programs to clean complex data and create analytic datasets from raw data Clearly communicate processes used and results achieved to technical and non-technical audiences; lead critical discussions of results and techniques Detect and address complex issues in data and analytics, suggest new and alternative approaches to solve problems Oversee secure data management, storage and upkeep in accordance with institutional policies Maintain knowledge of current statistical debates and new methodological approaches, and techniques, and apply to research and statistical analyses Advise and guide staff and students in data management and analytics techniques Contribute data visualizations and written procedures to scientific papers, reports, and presentations, as well as grant proposals Minimum
Qualifications:
To qualify you must have a Masters degree with 3 years of relevant work experience in Economics, Statistics, Biostatistics, Public Health or related quantitative research field. Advanced statistical computing skills. Proficient in both Stata and R. Experienced in working with large data using SQL, preferably in MySQL. Keen attention to detail and good documentation habits. Excellent written and oral communication skills. Strong ability to identify, analyze and solve problems. Self-directed and able to manage priorities on multiple projects simultaneously. Must work and communicate effectively with all levels of the organization. Strong time-management and prioritization skills. Qualified candidates must be able to effectively communicate with all levels of the organization.
Salary Range:
$80K -- $100K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
Summary:
We have an exciting opportunity to join our team as a Sr. Data Analyst. Using advanced statistical techniques and programming skills, the Senior Data Analyst executes complex analysis of research initiatives related to health policy, health choice/behavior, health economics, and population health at the NYU Grossman School of Medicine, Department of Population Health. The position independently leads, develops and completes analyses of large administrative data from conceptualization through presentation. This includes making decisions and recommendations about techniques, scope, and approaches appropriate to the research studies. Current projects include working with an array of New York City agencies' data to assess the impact of the COVID-19 pandemic on disparities in health and well-being among NYC children, and investigating national supermarket and restaurant sales data to evaluate the influence of food policies. Job
Responsibilities:
Define scope and selection of advanced statistical techniques according to study design, including cross-sectional, time series, and difference-in-differences Work effectively with large, complex, and noisy administrative data to solve challenging problems Efficiently query and maintain large, administrative data; write programs to clean complex data and create analytic datasets from raw data Clearly communicate processes used and results achieved to technical and non-technical audiences; lead critical discussions of results and techniques Detect and address complex issues in data and analytics, suggest new and alternative approaches to solve problems Oversee secure data management, storage and upkeep in accordance with institutional policies Maintain knowledge of current statistical debates and new methodological approaches, and techniques, and apply to research and statistical analyses Advise and guide staff and students in data management and analytics techniques Contribute data visualizations and written procedures to scientific papers, reports, and presentations, as well as grant proposals Minimum
Qualifications:
To qualify you must have a Masters degree with 3 years of relevant work experience in Economics, Statistics, Biostatistics, Public Health or related quantitative research field. Advanced statistical computing skills. Proficient in both Stata and R. Experienced in working with large data using SQL, preferably in MySQL. Keen attention to detail and good documentation habits. Excellent written and oral communication skills. Strong ability to identify, analyze and solve problems. Self-directed and able to manage priorities on multiple projects simultaneously. Must work and communicate effectively with all levels of the organization. Strong time-management and prioritization skills. Qualified candidates must be able to effectively communicate with all levels of the organization.
Salary Range:
$80K -- $100K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
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