Top Analysis Reporting Jobs in Las Vegas, NV

Own end-to-end analytics solutions for Vay’s operations and mobility teams, including SQL/dbt data modeling, BI dashboards, alerts, KPI definition, and actionable insights. Improve fleet readiness, maintenance, charging, vehicle positioning, customer experience, and operational efficiency. Partner with operational and product leaders, collaborate with Data Science, and build scalable data foundations using cloud warehouses and modern data tooling.

Leads day-to-day platform data operations, including partner file ingestion, PAL data integration, fund mapping, secure transfers, validation, quality metrics, issue resolution, and audit controls. Manages and develops the data operations team while driving automation, workflow improvement, documentation, and migration from legacy architecture. Partners with Product and Engineering, recordkeepers, advisors, and clients to improve data accuracy, scalability, security, and service delivery.

Own executive reporting and data strategy for autonomous vehicle system performance. Lead the weekly Software Performance Review, develop board-level reporting, analyze robotics and autonomy metrics, translate technical findings into strategic recommendations, and establish data visualization standards. Partner cross-functionally across engineering and performance teams, create data-driven feedback loops, and mentor Business Analytics and Business Intelligence engineers.

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.

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.

Evaluate search engine results and provide feedback on text, audio, images, and videos to improve AI and online search experiences. Conduct online research, assess relevance and significance, maintain quality and accuracy standards, and complete assignments independently from a home office. The role requires English and Spanish proficiency, flexible part-time availability, completion of training and testing, and use of a smartphone, computer, reliable internet, and antivirus software.

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.

Leads the design, development, and maintenance of enterprise data architecture, including warehouses, lakes, lakehouses, operational platforms, and ETL/ELT pipelines. Manages and mentors data team members, guides cloud and technology decisions, and collaborates with Baseball Research and Development teams to optimize data storage, quality, querying, and delivery. Supports advanced data models, AI-enabled architectures, large datasets, and reporting platforms while accommodating nontraditional schedules and travel.