

Nexify Infosystems
Sr. Enterprise Data Analyst with Healthcare Domain Exp
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a "Sr. Enterprise Data Analyst with Healthcare Domain Experience," offering a long-term remote position in Salt Lake County, Utah. Requires 12+ years in IT, 5+ years in healthcare, proficiency in Data Bricks, and expertise in data architecture and analysis.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
January 14, 2026
π - Duration
Unknown
-
ποΈ - Location
Remote
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Salt Lake County, UT
-
π§ - Skills detailed
#ML (Machine Learning) #Data Engineering #"ETL (Extract #Transform #Load)" #Data Science #Data Architecture #Monitoring #Data Bricks #Data Pipeline #Data Analysis #Documentation #Data Quality
Role description
Title: Sr. Enterprise Data Analyst with Healthcare Domain exp
Location: Salt Lake County, Utah (Remote)
Duration: Long term / Permanent
Number of Positions: 2
Domain: Health insurance
Responsibilities
β’ Minimum 12+ Years of experience in IT or Data Analyst.
β’ Must have 5+ Years of experience in Healthcare or similar domain experience
β’ Drive completion of data projects and deliverables including the execution of highly complex data solutions while demonstrating best practices, processes and standards for user story development, data analysis, architecture, Modeling, design, coding, and testing.
β’ Data Bricks
β’ Lead or assist in the development, documentation, and maintenance of the enterprise data architecture and its deliverables including the design principles, models, and mappings for transactional and analytical systems serving both strategic and tactical needs.
β’ Work closely with the business, mapping their most pressing business problems to data and analytic solutions.
β’ Develop data models and data transformation logic.
β’ Work with data engineers to implement data pipelines.
β’ Prototype data solutions to enable the measurement or monitoring of key performance indicators.
β’ Collaborate with senior management to understand data needs in support of departmental goals.
β’ Partner with product owners and managers in developing scope, dependencies, estimates, project plans, schedules, status reporting, and issue/risk management.
β’ Become the subject matter expert in multiple data domains.
β’ Responsible for defining company standards around data quality.
β’ Maximize opportunities to implement self-service to allow the business to find the data they need quickly, easily, and accurately.
β’ Enable data science team to build ML models by designing and providing high quality data.
β’ Establish and maintain effective and positive relationships with internal and external customers.
Title: Sr. Enterprise Data Analyst with Healthcare Domain exp
Location: Salt Lake County, Utah (Remote)
Duration: Long term / Permanent
Number of Positions: 2
Domain: Health insurance
Responsibilities
β’ Minimum 12+ Years of experience in IT or Data Analyst.
β’ Must have 5+ Years of experience in Healthcare or similar domain experience
β’ Drive completion of data projects and deliverables including the execution of highly complex data solutions while demonstrating best practices, processes and standards for user story development, data analysis, architecture, Modeling, design, coding, and testing.
β’ Data Bricks
β’ Lead or assist in the development, documentation, and maintenance of the enterprise data architecture and its deliverables including the design principles, models, and mappings for transactional and analytical systems serving both strategic and tactical needs.
β’ Work closely with the business, mapping their most pressing business problems to data and analytic solutions.
β’ Develop data models and data transformation logic.
β’ Work with data engineers to implement data pipelines.
β’ Prototype data solutions to enable the measurement or monitoring of key performance indicators.
β’ Collaborate with senior management to understand data needs in support of departmental goals.
β’ Partner with product owners and managers in developing scope, dependencies, estimates, project plans, schedules, status reporting, and issue/risk management.
β’ Become the subject matter expert in multiple data domains.
β’ Responsible for defining company standards around data quality.
β’ Maximize opportunities to implement self-service to allow the business to find the data they need quickly, easily, and accurately.
β’ Enable data science team to build ML models by designing and providing high quality data.
β’ Establish and maintain effective and positive relationships with internal and external customers.






