Senior Data Modeler
منذ 4 ساعات
ajman, الإمارات العربية المتحدة
Jimmy Technologies
دوام كامل
مجانًا عبر البريد الإلكتروني أو Google
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Our partner, a Fortune 500 company, is building scalable, analytics-ready data architectures for a client in the healthcare sector.
We're looking for a Senior Data Modeler to design and maintain dimensional data models using the Kimball methodology that power reporting and analytics at scale. You'll translate business requirements into well-structured logical and physical models, working closely with data engineers, BI teams, and business stakeholders
- with particular emphasis on healthcare Encounters data. This is a long-term, remote-first contract position with required US
working hours
overlap (2-6 PM CET). Responsibilities Dimensional modeling: design and maintain data models using Kimball methodology (star and snowflake schemas, fact and dimension tables, SCDs).
Healthcare Encounters data: model Encounters data, ensuring accuracy and alignment with business and regulatory requirements.
Advanced SQL: develop and optimize complex queries for data extraction, transformation, and : collaborate with data engineering teams to implement models within the data warehouse/lakehouse environment.
Data quality: perform data profiling, quality checks, gap analysis, and troubleshooting across source and target systems.
Documentation: maintain data models, data dictionaries, and mapping enablement: partner with BI and analytics teams to ensure models support downstream reporting needs. Work Conditions Type: Full-time & Long-term contract workStart Date: ASAPLocation: RemoteUS Time Zone Overlap: Required ( 2 PM
- 6 PM CET, ideally until 7 PM CET)Contract with EU LLC Job Requirements Healthcare industry experience
- including hands-on knowledge of Encounters dataExperience working with claims, member, or provider data in a healthcare payer (health insurer) or provider setting.
Advanced SQL skills
- complex query writing, performance tuning, debugging, and data profiling across large ability to design logical and physical data models for data warehouses/lakehouses optimized for reporting and analytics.
Excellent problem-solving skills and keen attention to detail.
Ability to collaborate with cross-functional teams and lead technical discussions with data engineers, BI teams, and business stakeholders.
Have a consultancy mindset
- always try to find a solution for the client
- with particular emphasis on healthcare Encounters data. This is a long-term, remote-first contract position with required US
working hours
overlap (2-6 PM CET). Responsibilities Dimensional modeling: design and maintain data models using Kimball methodology (star and snowflake schemas, fact and dimension tables, SCDs).
Healthcare Encounters data: model Encounters data, ensuring accuracy and alignment with business and regulatory requirements.
Advanced SQL: develop and optimize complex queries for data extraction, transformation, and : collaborate with data engineering teams to implement models within the data warehouse/lakehouse environment.
Data quality: perform data profiling, quality checks, gap analysis, and troubleshooting across source and target systems.
Documentation: maintain data models, data dictionaries, and mapping enablement: partner with BI and analytics teams to ensure models support downstream reporting needs. Work Conditions Type: Full-time & Long-term contract workStart Date: ASAPLocation: RemoteUS Time Zone Overlap: Required ( 2 PM
- 6 PM CET, ideally until 7 PM CET)Contract with EU LLC Job Requirements Healthcare industry experience
- including hands-on knowledge of Encounters dataExperience working with claims, member, or provider data in a healthcare payer (health insurer) or provider setting.
Advanced SQL skills
- complex query writing, performance tuning, debugging, and data profiling across large ability to design logical and physical data models for data warehouses/lakehouses optimized for reporting and analytics.
Excellent problem-solving skills and keen attention to detail.
Ability to collaborate with cross-functional teams and lead technical discussions with data engineers, BI teams, and business stakeholders.
Have a consultancy mindset
- always try to find a solution for the client