Top Analysis Reporting Jobs in Las Vegas, NV

Transforms large-scale datasets into strategic insights, designs and analyzes experiments, builds scalable reporting frameworks and dashboards, and communicates findings to stakeholders. Partners cross-functionally to improve workflows, optimize performance, support strategic initiatives, and drive measurable business outcomes across casino products and markets.

Lead development and execution of data-driven strategies, manage project planning and delivery, mentor and coach team members, ensure quality and ethical standards, design cloud data architectures and governance frameworks, analyze complex datasets to produce actionable insights, and drive continuous improvement using advanced analytics and modern data technologies.

Manages safety analytics by analyzing and interpreting data, identifying hazards and root causes, validating data integrity, developing dashboards and reports, and recommending corrective actions. Oversees database design, complex queries, data projects, reporting processes, and collaboration with Business Intelligence and corporate data teams. Leads working groups, mentors personnel, manages resources, evaluates technologies, and presents safety trends and insights to senior management for operational decision-making.

Manages analytics projects using historical, current, and predictive data to support business decisions. Leads statistical analysis, experimentation, customer segmentation, forecasting, predictive modeling, dashboards, and reporting. Partners with marketing, operations, and senior leadership to deliver insights and recommendations. Supervises, mentors, and develops Data Strategies team members, manages project workloads, improves efficiency through automation, and maintains relationships with vendors and internal stakeholders.

Apply statistical and analytical methods to identify revenue opportunities, build predictive and explanatory models, design and evaluate experiments, analyze and integrate data sources, and translate findings into actionable recommendations for cross-functional stakeholders across hotel, F&B, pool, spa, and gaming operations.

Supports federal-sector clients through business analysis, financial and operational data analysis, dashboard and report development, KPI tracking, requirements gathering, process improvement, data validation, and reporting automation. The role translates business needs into functional specifications, collaborates with technical and government stakeholders, supports UAT and Agile delivery, and communicates insights to program leadership. It also contributes to data governance, quality control, documentation, and enterprise reporting for project controls, facilities, assets, and capital programs.

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.

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.