Top Analysis Reporting Jobs in Las Vegas, NV

Leverage data analytics, business intelligence, and Python to deliver strategic insights and tailored solutions for clients. Build reports, dashboards, data pipelines, and support data architecture and quality initiatives. Analyze data from multiple sources to identify trends, improve operations, and inform decision-making. Collaborate with stakeholders and team members while continuously developing technical skills and contributing to process improvements.

Designs, develops, and maintains enterprise data infrastructure, including data marts, warehouses, ETL pipelines, data quality controls, and BI data transformations. Migrates on-premise systems to AWS, maintains SQL Server and Redshift environments, troubleshoots data processing issues, replicates data for reporting, and translates business requirements into practical data models.

Analyze game mathematics, simulations, live performance, and player-session data to guide game design decisions. Own data quality and performance metrics, build maintainable analysis tools and simulations using AI coding tools, document workflows, and present actionable recommendations. Collaborate with game design leaders and producers across global studios to roadmap and track analytical initiatives.

Manage and optimize Microsoft SQL Server database environments, including installation, configuration, upgrades, schema design, performance tuning, security, backups, recovery, monitoring, and capacity planning. Develop data models, maintain documentation, enforce data governance, ensure data quality, and support disaster recovery. Collaborate with developers, system administrators, and stakeholders to resolve database issues and support data-driven initiatives using SQL Server, SSIS, and Azure.

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.

Designs and leads scalable real-time and batch data pipelines, data platforms, architectures, data products, and intelligent APIs. Ensures data quality, supports BI and AI/ML initiatives, and develops ingestion, processing, migration, and analytical solutions for big data, NoSQL, and data warehouse environments. Provides technical leadership, mentorship, code reviews, testing, CI/CD implementation, system monitoring, troubleshooting, and cross-functional translation of business requirements into reliable cloud-based solutions.

Design, build, and maintain secure, scalable data pipelines and platforms (including Palantir Foundry/Gotham) for mission-driven clients in classified or restricted environments. Guide cross-functional teams, communicate architecture decisions, implement secure analytics ecosystems, and support AI/ML integration and DevSecOps practices under constrained mission conditions.

Lead and mentor analytics team members to deliver rigorous, actionable analyses that improve profitability and operations. Build senior stakeholder relationships, design reporting and dashboards, use SQL/BigQuery and BI tools to develop analytics, drive cross-team initiatives, and guide junior analysts in technical skills, presentation, and prioritization of high-impact work.

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.

Lead quota modeling, territory design, and commission planning; maintain Salesforce data and dashboards; leverage Gong/Clari and AI tools to improve forecast accuracy; produce executive-ready sales performance analysis; collaborate cross-functionally and drive continuous improvement in reporting and data governance.