Top Analysis Reporting Jobs in Las Vegas, NV

Leads data modernization initiatives for healthcare payer clients, designing pipelines, integrations, transformations, architectures, and warehouse solutions. Manages complex delivery using Airflow, Azure Data Factory, Databricks, and Snowflake; improves data quality, governance, security, and performance. Advises clients on data strategy and modernization roadmaps while coaching technical teams and aligning solutions with business, reporting, compliance, and security requirements.

Leads customer intelligence analytics, survey design, A/B testing, predictive modeling, forecasting, and customer behavior analysis. Develops SQL-based data models and reporting using Excel, Tableau, Python, or R; translates complex findings into strategic recommendations for revenue, loyalty, marketing, and network planning. Presents insights to executives, mentors junior analysts, improves analytical processes, and manages multiple high-impact projects.

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.

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.

Build and operate scalable data infrastructure, including fault-tolerant pipelines, data discovery services, and data lineage systems. Develop backend services that process petabytes of data for machine learning and autonomy teams. Lead system design, code reviews, and technical contributions while using AWS cloud ETL technologies and distributed systems. Collaborate with stakeholders to improve platform adoption and address data customer needs.

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.

Develop slot-style game mathematical models using probability, C#, and prize-first game engines. Translate game concepts into software, maintain game metrics and PAR sheets, analyze North American slot-market trends, and collaborate with game designers to create engaging player experiences. The role requires strong organization, adaptability, and willingness to work occasional overtime or weekends, with limited travel.

Designs and delivers scalable data engineering, analytics, automation, AI-enabled solutions, and supply chain applications. Builds Python solutions, Snowflake data pipelines, data models, reporting, and self-service analytics supporting planning, procurement, logistics, forecasting, inventory optimization, and operational decision-making. Partners with business and technical teams to translate requirements into reliable solutions, improve processes, maintain data quality, and provide technical leadership across analytics and data engineering initiatives.

Leads enterprise marketing analytics initiatives informing marketing investment, pricing, revenue optimization, and commercial strategy. Analyzes attribution, incrementality, forecasting, and complex datasets; develops KPI frameworks and scalable methodologies; presents recommendations to executives; aligns global stakeholders and data sources; and mentors analysts. The role requires strong SQL and BI expertise, advanced analytical judgment, and independent leadership in a hybrid environment.

Conduct quantitative research and statistical analysis of baseball players, teams, and strategies. Build predictive and evaluation models using Statcast, traditional statistics, tracking data, and proprietary datasets. Translate analytical findings into recommendations for scouting, player development, roster construction, and game strategy. Collaborate with baseball staff, communicate technical concepts clearly, monitor league trends, and support data-driven decision-making across Baseball Operations.