Top Analysis Reporting Jobs in Las Vegas, NV

The Indirect Channel Sales Analyst optimizes analytics for partner acquisition, enhances sales productivity, and defines performance metrics by collaborating with various stakeholders.

Lead and grow an analytics team supporting Casino Revenue Operations. Drive measurement strategy, perform deep-dive analyses on customer behavior and promotions, build monitoring/alerting frameworks, prioritize analytics roadmap, and translate insights into actionable recommendations for Revenue Operations, Product, and senior leadership to improve revenue outcomes.

The Revenue Management Analyst I is an entry-level position focused on maximizing revenue for scheduled flights through pricing and yield management, alongside data analysis and forecasting.

The Reporting Analyst will analyze data for decision-making, prepare client reports, and work closely with teams across Finance, Operations, and IT.

Lead implementation and strategy for enterprise data governance technologies and processes. Partner with IT, data platform, and business stakeholders to improve metadata management, data discoverability, quality, compliance, reporting, and stewardship while mentoring governance analysts and driving change management.

The Sr. Analyst Operational Risk will implement policies, develop strategies, and collaborate on risk management systems while reporting and maintaining risk documentation.

Partner with cross-functional teams to drive data-driven growth initiatives. Design and analyze A/B tests, leverage machine learning for insights, define acquisition levers, and automate processes to improve operational efficiency and scale user and partner growth.

As a Data Strategies Manager, manage analytics projects to support decision-making, mentor team members, and provide data-driven insights.

Participants will attend a 90-minute session to record 20 short video clips performing simple actions for AI technology training.

Design, build, and maintain scalable Azure-based data pipelines, enterprise data warehouse and data lakes. Develop complex SQL, ETL/ELT, data models, BI dashboards, ensure data quality, support analytics, and mentor team members.