Top Data & Analytics Jobs in Las Vegas, NV

Build reliable data models and semantic layer for AI-powered analyses. Support Product, Finance, and Customer Success with SQL-based analytics, BI dashboards, and stakeholder storytelling. Standardize data team processes, prioritize work, and collaborate across company to enable data-informed decisions.

Design and advance enterprise data and BI architecture: optimize OLTP/OLAP models, establish modeling/integration/governance standards, lead POCs, mentor teams, enable AI/ML, and guide cross-functional implementation from concept to production.

Embed within a core business area to define problems, build metrics/reports, run analyses and experiments, surface insights, and drive recommendations to deliver measurable business outcomes across growth, product, AI, and partnerships.

Own analytics for an embedded business unit: define problems and metrics, build reports, run analyses, design experiments, and drive cross-functional recommendations to improve growth, product, AI, or partnerships.

Design and implement scalable data warehouse solutions integrating client data with the Ignite platform. Lead SQL Server to Databricks migrations, translate and optimize Spark SQL, build and maintain dbt data models, validate data quality, communicate status to stakeholders, and provide knowledge transfer and onboarding for client and internal teams.

Perform geospatial wildfire hazard and risk modeling using fire behavior software and GIS. Calibrate fuelscapes and vegetation/canopy fuel layers, support nationwide risk assessments, translate fire workflows into software user stories, and collaborate with developers to test and deploy Wildfire Risk datasets.

Support GiveWell research by quality-checking and updating cost-effectiveness models, conducting desk research, summarizing grantee monitoring and evaluation, writing clear public summaries, and performing ad-hoc high-impact projects and project-management support for research investigations.

Design and maintain company-wide dashboards, define KPI frameworks, implement tracking and data governance, write advanced SQL, partner with product and engineering, build predictive/AI-ready data layers, automate reporting, and present insights to leadership to drive operational and financial improvements.

The Business Intelligence Data Analyst II supports reporting, dashboards, and data-driven insights, working closely with Business Intelligence and Data Engineering teams. Responsibilities include optimizing data structures, leading data modeling, collaborating on requirements, and monitoring data feeds.

Lead definition and evolution of cloud data architecture and analytics platform using a lakehouse approach. Design secure, scalable AWS data platforms, medallion data layers, data modeling standards, ETL/ELT and streaming pipelines, governance, observability, and AI/ML enablement. Drive tool selection, cross-team architecture reviews, mentor engineers, and enforce data security, compliance, and operational excellence across the organization.