Top Data & Analytics Jobs in Las Vegas, NV

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

Supports business development and strategy through competitive research, market comparisons, business intelligence, and performance reporting. Analyzes gaming, tourism, hotel, and revenue data to evaluate markets, expansions, property opportunities, and competition. Maintains industry databases, prepares corporate and board reporting materials, and uses generative AI, automation, and analytical tools to improve research and workflow efficiency.

Provide forecasting and analytics to optimize staffing, scheduling and workforce allocation across customer care, collections, fraud and other operations. Analyze large datasets to produce demand forecasts and staffing plans, recommend process improvements, support operational readiness, manage stakeholder relationships, and uphold risk and control standards.

Oversee business intelligence initiatives, data standards, integrations, dashboards, reporting, and data quality. Analyze requirements, resolve complex data issues, document data environments, and support user adoption through training and change management. Lead process improvement projects, coordinate testing and deployments, and provide direction to project teams. Collaborate across departments to deliver data-driven insights and KPI reporting while mentoring team members and maintaining compliance with company and gaming regulations.

Supports commercial real estate research by gathering, analyzing, and interpreting market data; producing reports, narratives, graphs, tables, and proposal materials; maintaining proprietary databases; developing forecasts; and providing research insights to brokers, property managers, marketing teams, and clients.

Lead the architecture and technical direction of Curaleaf’s modern data and analytics ecosystem. Design scalable Snowflake platforms, data models, ingestion and transformation pipelines, governance practices, CI/CD workflows, and reusable data products. Partner across engineering, analytics, data science, governance, and business teams; mentor engineers; optimize performance, security, cost, reliability, and workload management; and communicate technical tradeoffs to executives and stakeholders.

Leads customer intelligence analytics, survey design, A/B testing, predictive modeling, forecasting, and customer behavior analysis. Develops SQL-based data models and reporting using Excel, Tableau, Python, or R; translates complex findings into strategic recommendations for revenue, loyalty, marketing, and network planning. Presents insights to executives, mentors junior analysts, improves analytical processes, and manages multiple high-impact projects.

Develop and optimize Oracle Fusion Data Intelligence analytics, reporting, semantic models, data integrations, and augmentation solutions. The role supports Oracle ERP, HCM, and SCM data, including OTBI, BI Publisher, ODI, ETL, SQL, and PL/SQL development. Responsibilities include requirements gathering, data cleansing and validation, cross-functional collaboration, and contributing to an ERP analytics roadmap. This is an onsite role in Des Moines, Las Vegas, or Portland, with an initial 3–4 month W2 engagement.

Build and operate scalable data infrastructure, including fault-tolerant pipelines, data discovery services, and data lineage systems. Develop backend services that process petabytes of data for machine learning and autonomy teams. Lead system design, code reviews, and technical contributions while using AWS cloud ETL technologies and distributed systems. Collaborate with stakeholders to improve platform adoption and address data customer needs.

Analyze and improve business systems, workflows, data quality, reporting, and operational processes. Administer and optimize Deltek Vantagepoint, develop Power BI dashboards and data models, validate reporting accuracy, support CRM and financial data, and translate business requirements into scalable system solutions. Provide user support, documentation, training, testing, and implementation leadership while collaborating across Finance, HR, Marketing, Operations, and project teams.