Top Data & Analytics Jobs in Las Vegas, NV

The VP of Reporting & Analytics leads the analytics function, developing strategies and insights for stakeholders, enhancing data literacy, and managing analytics teams while driving AI-enabled capabilities and BI infrastructure advancements.

As a Staff Data Scientist, you will lead product strategy by building predictive models, optimizing matching algorithms, and guiding product innovations in a consumer tech environment.

Lead a team of data engineers in designing and maintaining scalable data infrastructure and pipelines, ensuring data integrity and decision-making support.

The Senior Digital Strategist & UX Researcher will drive user research and digital strategy for nonprofits, guiding decision-making and delivering actionable insights to clients.

As a Revenue Analytics Manager, you will own reporting for Sales, Marketing, and Customer Success, build dashboards, automate workflows, and ensure data quality.

The Commercial Excellence Analyst is responsible for sales effectiveness metrics, KPI development, process automation, and providing insights based on commercial data.

The role involves writing and maintaining fraud rulesets, conducting data analysis to identify and mitigate fraud, and collaborating with cross-functional teams to implement fraud strategies.

As a Sr. Data Engineer at Lyra Health, you will build and scale core data infrastructure, design data warehouses, and create efficient data pipelines while collaborating across departments.

The Managed Services Cloud Engineer - FinOps supports financial management and optimization of cloud services, conducts analysis of cloud spend, implements optimization strategies, and collaborates across teams to enhance cloud cost efficiency and governance.

The Manager, Analytics Services will lead a team to deliver high-quality analytics projects, manage client relationships, and integrate AI solutions in healthcare analytics, focusing on business growth and client satisfaction.

The Data Product Manager will execute timely data deliveries, collaborate with vendors and teams, and enhance the quality of data products to support healthcare stakeholders.