Top Data & Analytics Jobs in Las Vegas, NV

As Data Labeling Lead, you'll manage the data labeling team, ensuring high-quality training data, collaborating with ML engineers, and refining processes.

The RevOps Analytics Engineer is responsible for maintaining data infrastructure, building reliable data systems, and supporting revenue analytics through effective data modeling and ETL/ELT processes.

The RevOps BI Architect designs and maintains BI platforms, creates dashboards, optimizes reporting performance, and ensures data clarity for revenue operations teams.

The Econometrician will develop econometric models, provide analytical support, engage with clients, and drive innovation in marketing analytics at Tinuiti.

The Senior Clinical Database Programmer leads the design and development of case report forms and manages studies using clinical data management systems, ensuring compliance with standards and regulations.

The Director of Data Platforms & Governance will define the strategy and architecture for a data platform, lead the data platforms team, and ensure data governance and integration with enterprise systems.

The BI Reports Developer designs and maintains BI reports and dashboards, collaborates with stakeholders for reporting needs, analyzes data for trends, and ensures data validation.

The Enterprise Data Engineering & Platform Manager will lead data modernization initiatives, support AI/ML, manage data pipelines, and ensure platform reliability within a healthcare context.

The Data Engineer designs and operates data and machine-learning systems for HSA/FSA eligibility, building pipelines, models, and APIs to support decision-making at Flex.

The Senior Analytics Engineer will build and maintain data foundations for corporate reporting, translating business requirements into data models, ensuring consistent metric definitions and investigating data discrepancies for reliable reporting.

As a Research Analyst, you'll drive fundamental research for subscription-based data products, analyze large datasets, and collaborate with teams to offer insights and develop new products.