Key skills
PythonSQLAIMLLLMETLELTData EngineeringData LakeAnalyticsBIBusiness IntelligenceTableauPower BISnowflakeDatabricksAzure
About this role
Clevanoo LLC is seeking an Analytics Engineer with healthcare and BI development experience. The role requires designing and developing analytic-ready datasets and enterprise DataMarts, as well as experience with data platforms and AI/ML use cases.
Responsibilities:
- Proven experience designing and developing analytic-ready datasets and enterprise DataMarts supporting reporting and operational analytics
- Hands-on experience working with data lake or modern data platforms such as Databricks, Azure Data Lake, or Snowflake
- Strong experience developing and optimizing SQL-based data transformations across large, complex datasets
- Demonstrated experience building dashboards and data visualizations using Tableau and/or Microsoft Power BI
- Experience using Python for data processing, automation, and analytics workflows
- Experience building and maintaining ETL/ELT pipelines, including data ingestion, transformation, and validation
- Exposure to AI/ML or LLM-based use cases, including data summarization, classification, or insight generation
- Experience working with healthcare data domains such as claims, enrollment, provider data, or electronic health records (Epic Clarity preferred)
- Experience supporting regulatory or audit-driven reporting (e.g., CMS, HEDIS, Medicare Advantage)
Requirements:
- 5–8+ years of experience in data analytics, business intelligence, or data engineering within Epic healthcare, managed care, data environment
- Proven experience designing and developing analytic-ready datasets and enterprise DataMarts supporting reporting and operational analytics
- Hands-on experience working with data lake or modern data platforms such as Databricks, Azure Data Lake, or Snowflake
- Strong experience developing and optimizing SQL-based data transformations across large, complex datasets
- Demonstrated experience building dashboards and data visualizations using Tableau and/or Microsoft Power BI
- Experience using Python for data processing, automation, and analytics workflows
- Experience building and maintaining ETL/ELT pipelines, including data ingestion, transformation, and validation
- Exposure to AI/ML or LLM-based use cases, including data summarization, classification, or insight generation
- Experience working with healthcare data domains such as claims, enrollment, provider data, or electronic health records (Epic Clarity preferred)
- Experience supporting regulatory or audit-driven reporting (e.g., CMS, HEDIS, Medicare Advantage)