Top Data & Analytics Jobs in Las Vegas, NV

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.

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.

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.

Convert 150–175 legacy reports to Crystal Reports for a Tyler EnerGov implementation on SQL Server 2012. Mentor staff migrating from Oracle Reports, build reports using SQL stored procedures, apply business logic, format, filter, group, summarize, and export reports to PDF, Excel, Word, and HTML.

The Spanish Linguist provides monitoring, translation, transcription, and interpretation support for law enforcement investigations, ensuring accurate communication between languages.

Design, develop, test, maintain and support Enterprise Data Warehouse (EDW) applications and ETL processes. Validate source data loads, improve ETL performance and data architecture to support BI and analytics. Design flexible data models, ensure optimal data flow, and collaborate with IT teams and end-users to analyze, troubleshoot, test, and enhance applications.