Job Details

ID #41096309
Estado Carolina del Norte
Ciudad Charlotte
Tipo de trabajo Permanent
Salario USD TBD TBD
Fuente Zachary Piper Solutions, LLC
Showed 2022-05-18
Fecha 2022-05-17
Fecha tope 2022-07-16
Categoría Arquitecto/ingeniero/CAD
Crear un currículum vítae

Healthcare Data Architect

Carolina del Norte, Charlotte, 28201 Charlotte USA

Vacancy caducado!

Piper Companies is currently seeking an impactful Healthcare Data Analyst with the ability to serve as a technical data expert in report querying, data view build, and report generation. This role will be with a leading Integrated Research Organization (IRO) that looks to integrate clinical research into clinical care. This position provides analytic and project support across operational areas and is called upon to exercise discretion and maintain confidentiality in analysis and reporting. This role is 100% remote.

Responsibilities for the Healthcare Data Architect:

• Supports design of programmatic analyses and reporting capabilities in addition to business requirement definition for new analyses

• Supports data quality and data stewardship functions to maintain data accuracy and identify new metrics

• Acquire, manage, analyze, interpret, and transform data into accurate, consistent, and timely information, while balancing the "big picture" strategic vision with day-to-day details

• Promotes self-service analytics for customer adoption, understanding and use of data

Qualifications for the Healthcare Data Architect:

• 4+ years' experience in an analytic role.

• Proficiency with database programming languages such as SQL

• Proficiency with Python for data manipulation

• Excellent communicator expected to maintain constant communication with enterprise architects, corporate and clinical teams

• Bachelor's degree in mathematics, statistics, healthcare administration, or related field

Compensation for the Automated Software Tester: Competitive salary + Full Time Employment Benefits (401k Match, PTO, Holidays, Medical, Dental, Vision)

Keywords: data engineers, data miners, data scientists, and data analysts, in areas related to data collection, data storage, data security, and data systems access, acquire, manage, analyze, interpret, and transform, sql, python, medical, records, architect, statistics

Vacancy caducado!

Suscribir Reportar trabajo