About The Position

Hands-on, certified Data Architect specializing in population health data, with advanced proficiency in complex data modeling. The role involves working with population health data and understanding patient care, engagement, care coordination, value-based care, and risk-sharing models. The position requires expertise in Epic Caboodle received claims data models, EMR and claims data, public health databases, healthcare coding (such as ICT), and social determinants of health data. It also involves data analytics, data cleansing, ETL processes, data governance, efficient data model design, SQL database management, and development of SSIS packages and SQL queries. The role is remote with quarterly travel to Boston, Massachusetts, and is offered as a contract of six or more months.

Requirements

  • Hands-on experience as a certified Data Architect specializing in population health data.
  • Advanced proficiency in complex data modeling.
  • Understanding of patient care, engagement, care coordination, value-based care, and risk-sharing models.
  • Experience with Epic Caboodle received claims data models.
  • Expertise in EMR data, claims data, public health databases, healthcare coding (such as ICT), and social determinants of health data.
  • Expertise in data modeling, Power Query, Power Pivot, and DAX for report development.
  • Experience in data cleansing and ETL toolsets such as SSIS or Matillion.
  • Expertise in SQL database management, SSIS package development, and SQL query development.

Nice To Haves

  • Experience or familiarity with the Arcadia analytics platform for population health.
  • Experience or familiarity with Epic EMR reporting using Power BI.
  • Familiarity or experience with data governance principles.

Responsibilities

  • Design and develop complex, efficient data models for population health data.
  • Work with Epic Caboodle received claims data models and healthcare data, including EMR, claims, public health, healthcare coding, and social determinants of health data.
  • Support reporting and analytics using Power BI, Power Query, Power Pivot, and DAX.
  • Perform data cleansing and ETL work using tools such as SSIS and Matillion.
  • Apply data governance principles.
  • Manage SQL databases and develop SSIS packages and SQL queries.
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