Top Senior Data & Analytics Jobs in Las Vegas, NV

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.

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.

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.

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.

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.

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.

Seeking a Sr. ETL Developer with 6-8 years programming experience, expertise in ETL tools, SQL, and data warehousing concepts for a 6+ month contract in Las Vegas.

Design and own an event-driven data architecture that moves healthcare claims data through AWS and Snowflake into fraud, waste, and abuse alerts. Establish architecture standards, approve material changes, build complex pipeline components, and ensure scalability, reliability, and compliance with PII/PHI constraints. Collaborate with data science, compliance, technical, and investigative teams while supporting government review timelines. This is a hands-on principal role requiring strong Python, SQL, AWS, Snowflake, and production streaming pipeline experience.

Design, develop, and optimize scalable Databricks data pipelines using PySpark, SQL, Spark, and Delta Lake. Build workflows, ingestion and transformation processes, data quality checks, monitoring, and CI/CD automation. Optimize distributed workloads, configure Databricks compute, support cloud governance and access controls, troubleshoot production issues, and collaborate with technical and research stakeholders to deliver secure, reliable analytical datasets.

Lead a remote analytics team to deliver dashboards, data products, and decision-support tools. Oversee project plans, stakeholder engagement, data platform modernization, ETL/automation, Tableau/Power BI deployments, statistical modeling, QA, metadata, and staff mentoring to support federal social service programs.