Job Summary

Summary: The ideal candidate will possess strong expertise in cloud-based analytics, healthcare data modeling, UDMH frameworks, dimensional and semantic modeling, and enterprise reporting solutions, with the ability to translate complex business requirements into scalable data assets and analytical models.

Required Skills & Experience

• Hands-on experience with Google Cloud Platform (GCP), particularly BigQuery.
• Proven expertise in dimensional modeling, semantic modeling, and data warehouse concepts.
• Experience in source-to-target mapping (STTM) and data integration projects.
• Strong understanding of cross-source relationship design, data lineage, and data governance concepts.
• Experience collaborating with Data Engineering and Power BI teams to deliver end-to-end analytics solutions.
• Hands-on experience working with healthcare data models, healthcare source systems, and healthcare domain datasets.
• Strong understanding of UDMH (Unified Data Model for Healthcare) concepts, data structures, and healthcare analytical modeling.
• Proficiency in SQL and data analysis techniques for large-scale datasets.
• Ability to understand and document complex business processes and data requirements.
• Strong analytical, problem-solving, and stakeholder management skills.

Preferred Qualifications

• Experience with IBM InfoSphere Data Architect (IDA), ERwin Data Modeler, or similar enterprise data modeling tools.
• Experience working with operational, service management, or ITSM data domains.
• Knowledge of knowledge graph concepts, ontology design, or graph-based data modeling approaches.
• Familiarity with enterprise data architectures, semantic layers, and modern analytics platforms.
• Experience working in agile and cross-functional environments.

Key Responsibilities

Summary: The ideal candidate will possess strong expertise in cloud-based analytics, healthcare data modeling, UDMH frameworks, dimensional and semantic modeling, and enterprise reporting solutions, with the ability to translate complex business requirements into scalable data assets and analytical models.

Required Skills & Experience

• Hands-on experience with Google Cloud Platform (GCP), particularly BigQuery.
• Proven expertise in dimensional modeling, semantic modeling, and data warehouse concepts.
• Experience in source-to-target mapping (STTM) and data integration projects.
• Strong understanding of cross-source relationship design, data lineage, and data governance concepts.
• Experience collaborating with Data Engineering and Power BI teams to deliver end-to-end analytics solutions.
• Hands-on experience working with healthcare data models, healthcare source systems, and healthcare domain datasets.
• Strong understanding of UDMH (Unified Data Model for Healthcare) concepts, data structures, and healthcare analytical modeling.
• Proficiency in SQL and data analysis techniques for large-scale datasets.
• Ability to understand and document complex business processes and data requirements.
• Strong analytical, problem-solving, and stakeholder management skills.

Preferred Qualifications

• Experience with IBM InfoSphere Data Architect (IDA), ERwin Data Modeler, or similar enterprise data modeling tools.
• Experience working with operational, service management, or ITSM data domains.
• Knowledge of knowledge graph concepts, ontology design, or graph-based data modeling approaches.
• Familiarity with enterprise data architectures, semantic layers, and modern analytics platforms.
• Experience working in agile and cross-functional environments.

Skill Requirements

Required Skills & Experience

• Hands-on experience with Google Cloud Platform (GCP), particularly BigQuery.
• Proven expertise in dimensional modeling, semantic modeling, and data warehouse concepts.
• Experience in source-to-target mapping (STTM) and data integration projects.
• Strong understanding of cross-source relationship design, data lineage, and data governance concepts.
• Experience collaborating with Data Engineering and Power BI teams to deliver end-to-end analytics solutions.
• Hands-on experience working with healthcare data models, healthcare source systems, and healthcare domain datasets.
• Strong understanding of UDMH (Unified Data Model for Healthcare) concepts, data structures, and healthcare analytical modeling.
• Proficiency in SQL and data analysis techniques for large-scale datasets.
• Ability to understand and document complex business processes and data requirements.
• Strong analytical, problem-solving, and stakeholder management skills

Other Requirements