Top Data & Analytics Jobs in Las Vegas, NV

Analyze product, customer, and commercial data to define and document core metrics, build and maintain dashboards, design and analyze experiments, investigate data quality, and present clear insights to product, sales, and business stakeholders to inform decisions.

Build and maintain production-grade data processing systems and foundational infrastructure for enterprise AI. Collaborate with researchers and engineers, deliver end-to-end implementations, transform unstructured data into performant datasets, and use distributed processing frameworks and modern analytics tooling to inform products and strategy.

As a Senior Commercial Insurance Analyst, you'll perform complex analyses on data to drive business performance and risk outcomes. You'll collaborate with various teams, generate actionable insights, and mentor junior analysts, all while fostering a data-driven culture and improving operational efficiency.

Lead sales forecasting across retail and e-commerce channels, build and manage short- and long-range forecasts, analyze variance and drivers, own forecast accuracy and KPIs, partner cross-functionally with Sales, Finance, Demand Planning, and Supply Chain, implement and automate forecasting tools and AI-enabled analytics, and deliver reporting and insights to leadership.

Provide ad-hoc data and reporting support to Sales and internal teams using SQL, Databricks/Count, and spreadsheets. Clarify requirements, investigate discrepancies, resolve basic data issues, support routine data operations, and create reusable queries/reports and documentation to enable self-service.

Lead SAP Data Migration activities for enterprise transformation projects, ensuring data quality, governance, and compliance while collaborating with cross-functional teams.

The Analytics Manager analyzes complex datasets, builds models, conducts scenario analyses, and provides strategic recommendations to guide decision-making for leadership.

Design, analyze, and document data products and technical specifications. Perform large-scale data profiling and SQL analysis, support data governance, partner with stakeholders to remediate issues, and help implement data quality, lineage, and ingestion standards.

Lead analytics for law firm operations by writing advanced SQL and Python/R scripts, building executive dashboards, standardizing KPIs, analyzing case lifecycle metrics, identifying bottlenecks, and delivering actionable recommendations to drive capacity planning and process improvements.

This role involves writing user stories, supporting agile team processes, and driving customer discovery to enhance technology solutions for clients.