Top Senior Data & Analytics Jobs in Las Vegas, NV

As a Senior Data Engineer, you'll design data pipelines, develop analytics ecosystems, and integrate AI/ML capabilities for mission-driven projects, guiding teams in an agile environment.

Lead and mentor analytics team members to deliver rigorous, actionable analyses that improve profitability and operations. Build senior stakeholder relationships, design reporting and dashboards, use SQL/BigQuery and BI tools to develop analytics, drive cross-team initiatives, and guide junior analysts in technical skills, presentation, and prioritization of high-impact work.

Design, develop, test, and maintain Tableau dashboards and visualizations; gather and document requirements; integrate and validate data from multiple sources; build KPIs, scorecards, and workflow metrics; optimize performance and data quality; troubleshoot reporting issues; create documentation and provide knowledge transfer and ongoing BI support to DPS.

Build, optimize, and maintain large-scale ETL pipelines and data infrastructure to support marketing analytics. Develop automated dashboards and reports with BI tools, write and optimize advanced SQL, process very large datasets, troubleshoot data quality issues, automate campaign reporting, and provide technical leadership and best practices across cross-functional teams.

Lead NPR's station-facing analytics service: produce insights, training, newsletters, and webinars; support stations on tracking implementation and dashboards; analyze network- and station-level audience data; document best practices and collaborate with cross-functional teams to inform product roadmaps.

Build and maintain production data pipelines and foundations for People Analytics and AI-driven tools. Integrate HR systems (Workday, Greenhouse), design data models, ensure governance for sensitive employee data, support data science and reporting, and deliver dashboards and Streamlit apps. Optimize queries, enable LLM consumption with quality and latency controls, and collaborate cross-functionally to transition AI prototypes to production.

Lead analytics projects using advanced and predictive modeling to optimize programs, forecast behavior, and drive revenue. Partner consultatively with business, IT, and SMEs across project lifecycle—intake through delivery—communicating results to stakeholders and senior leadership. Work independently on complex technical approaches and influence department strategy.

The Data SME will provide strategic guidance on data management and analytics, ensuring data quality and governance while collaborating with global teams to improve data solutions.

The Databricks SME will lead the design and development of data platforms and pipelines, optimize workflows, mentor teams, and ensure compliance and security standards.

The Senior Data Analyst will develop advanced Power BI dashboards, perform complex analyses using SQL and Python, mentor junior analysts, and ensure data quality governance.

The Senior Database Analyst will optimize a legacy SQL Server environment and design a modern platform using PostgreSQL and ClickHouse. Responsibilities include auditing server performance, designing database schemas, managing multi-tenant databases, and improving data ingestion methods.