Design and build registry/disease/procedure specific data models. Create/maintain complex SQL codes and stored procedures that feed and refresh the data models. Support ad hoc user requests by creating data reports from the data models and measure catalog. Create/maintain ETLs that source data from various databases to support the data models. Build data mining pipelines to abstract measures from clinical documentation. Profile data sources and QA data output. Work closely with biostatisticians for development of risk models, analytical algorithms, analytics data marts, and development of statistical data tables.Requirements:Master's Degree in Statistics, Mathematics, Economics, Public Health, Information Systems, or Computer or Systems Engineering, plus 1 year of experience in the offered position or as a Data Integration Engineer or Data Analyst in the health/healthcare sector.**All of the required experience must have included delivering data analytics for a hospital or health services organization using complex SQL and understanding of hospital or healthcare department/clinical operations, workflow, policies and procedures; performing data analysis or business analytics using clinical EHR (Epic Clarity) data and nomenclatures, hospital claims data, and disease classification systems; analyzing data quality and performing cleaning, enrichment, mapping and data transformation using SQL, R and Python; using Tableau/PowerBI to develop reports, dashboards, and presentations to summarize and explain data; and working with and developing enterprise data warehouse, subject-matter data marts, and complex data models.This role entails hybrid work, with time split between working in our New York, NY office and flexibility to telecommute from another U.S. location.#LI-DNI
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