Top Senior Level Data & Analytics Jobs in Las Vegas, NV

The Senior GRC Analyst will oversee security compliance initiatives, conduct risk assessments, manage security documentation, audit 3rd party vendors, and support external audits. Strong communication skills and the ability to collaborate with cross-functional teams are essential.

The Sr. GRC Analyst will support and mature the Governance, Risk, and Compliance program at Prosper, executing security compliance initiatives, conducting assessments and audits, managing documentation, leading external audit evidence collection, and fostering stakeholder collaboration. This role requires high attention to detail and a strong understanding of risk in a technology-focused environment.

The Senior Revenue Operations Analyst will focus on territory management and automation processes within the Revenue Operations team. Responsibilities include analyzing data to provide territory recommendations, systematizing territory assignments, and ensuring data hygiene across various teams. Collaboration with Customer Success and GTM teams is essential to enhance lead distribution and territory alignment.

As a Lead Data Engineer, you will design and architect cloud data lakes, implement tabular data formats, develop scalable data platforms, and collaborate with AI teams to enable data pipelines for model training and inference while ensuring data quality and governance.

The Senior Revenue Operations Analyst will shape and assign sales territories through data analysis and automation, collaborate cross-functionally, and monitor data accuracy. Responsibilities include improving internal processes, utilizing tools like Dunn & Bradstreet, and providing guidance to the GTM teams.

The Senior Manager of Analytics (Ad Sales) will lead the development of a robust analytics platform, fostering data-driven decision-making across Fox. Responsibilities include managing a team of analysts, translating business needs into technical requirements, and enhancing reporting and insights to drive efficiencies within the organization.

The Data Architect will develop datasets for data visualization and machine learning, automate pipelines for structured and unstructured data, and collaborate with teams to create data products. This role includes building ingestion pipelines, providing thought leadership, and ensuring project delivery from design to launch.