Healthcare claims analytics for self-funded employers
SmartLight Analytics applies statistical modeling and clinical review to healthcare claims data for self-funded employers. The tech stack—SQL Server, Snowflake, dbt, Python, scikit-learn, XGBoost, TensorFlow—reveals a mature analytics operation built on data warehousing and machine learning. The hiring surge (18 roles in 30 days, mostly healthcare and data specialists) suggests rapid scaling of claims-processing capacity, while the migration away from SQL Server toward Snowflake indicates modernization of the data foundation.
SmartLight Analytics helps self-funded employers reduce healthcare spend by analyzing claims data for waste and improper payments. Founded in 2016 and based in Plano, Texas, the company employs 2–10 people but is in active hiring mode across healthcare, data, operations, and engineering. The methodology combines statistical inference (customized to each employer's population), full clinical review of medical claims, and partnership with third-party administrators (TPAs) to implement cost-reduction interventions. The company operates on a zero-touch model—no employee involvement required—and emphasizes data-driven discovery over pre-assigned detection rules.
SQL Server, Snowflake, Azure Data Factory, dbt, Python, R, SAS, scikit-learn, XGBoost, TensorFlow, HL7, FHIR, and Azure Kubernetes Service. The company is migrating off SQL Server and adopting Microsoft Graph.
Plano, Texas. The company was founded in 2016 and is privately held with 2–10 employees.
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