Top Senior Analysis Reporting Jobs in Las Vegas, NV

Design and develop data pipelines, integrations, transformations, and infrastructure across AWS, Snowflake, Airflow, and MySQL. Troubleshoot warehouse issues, validate data quality, improve pipeline reliability, and translate business needs into data engineering solutions. Interpret technical findings for client recommendations, manage workstreams, review junior team members’ work, and provide technical guidance across managed services engagements.

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.

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.

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.

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.

Leads the Business Intelligence, reporting, analytics, and data governance functions. Manages and develops the BI team, oversees enterprise dashboards and KPI frameworks, ensures data quality and governance, delivers business insights, supports data integration and warehouse initiatives, and enables AI and advanced analytics. Partners with cross-functional leaders to transform enterprise data into actionable recommendations for operational, financial, sales, inventory, customer, and strategic decision-making.