Top Data & Analytics Jobs in Las Vegas, NV

Build automated enterprise reporting across clinical, operations, claims, and risk adjustment; answer ad-hoc SQL questions; design ETL and data marts with engineering; ensure data quality and documentation; develop clinical business logic and regulatory/PACE reports; mentor analysts and set reporting standards.

Analyze commercial data for sales, marketing, service and support to create metrics and insights for optimization. Collaborate with cross-functional teams to provide data-driven recommendations and manage business intelligence tools.

The Databricks Architect leads data engineering solutions, designing scalable Databricks platforms and managing cloud implementations. They work with clients, ensuring technical alignment and project execution.

The Reporting & Documentation Specialist will build and maintain dashboards and reports within the ProScore Core Portal, using SQL and Stimulsoft, while ensuring accurate documentation and collaboration with stakeholders.

As Tokenization Lead, you will manage the development and integration of tokenized real-world assets on the Monad blockchain, overseeing issuer onboarding and ensuring market liquidity.

The Associate Director of Reporting and Analysis will convert operational data into actionable insights, drive business decisions, and enhance customer engagement through effective data reporting and analysis.

As an Energy Analyst, you will manage demand response programs in NYISO and PJM, monitor compliance, track client performance, and prepare market intelligence. This role requires strong analytical skills and interaction with various teams.

The Principal Business Operations role at Moxie involves building practice intelligence, delivering trend reports, providing insights for strategic projects, and shaping the product roadmap based on data analysis.

The Internal Auditor will validate compliance evidence, conduct internal audits, and communicate audit insights, focusing on various compliance frameworks.

Supervises Data Services team focusing on data engineering and operations, ensuring alignment with IT policies, data governance, and operational reliability of data products.