Top Data & Analytics Jobs in Las Vegas, NV

Perform data collection, analysis, interpretation, and presentation to support operational and strategic decisions. Develop dashboards and visualization tools, document methodologies, monitor KPIs, recommend provider network reimbursement rates and processes, research claim/provider issues, present findings, and ensure timely delivery of analyses.

No job responsibilities were provided. The posting requires U.S. citizenship or naturalized citizenship and that all work be completed within the United States (including Alaska and Hawaii). Pay range: $95,000–$110,000 annually.

Provide technical and administrative support to leadership: monitor sprints and Scrum synchronizations, perform technical research, write Python scripts for automation and API testing, manage and report data using advanced Excel, and prepare meeting summaries and cross-functional coordination.

Lead analytics and insights for the CFO and exec team: produce executive-ready analyses, design scalable analytics infrastructure, leverage AI to accelerate workflows, partner cross-functionally to drive strategy and execution, and manage multiple high-impact initiatives.

Perform data exploration and analysis on large structured and unstructured datasets using SQL and Python. Clean and process data, build dashboards and reports with Power BI and Tableau, consult with stakeholders to gather requirements, and communicate findings to end users. Work in a hybrid Arlington, VA environment supporting federal clients.

Lead data product strategy and governance for customer-facing reporting within Managed Services. Own reporting product roadmap, data quality, standards, delivery platforms (Redwood Insights, BI, Snowflake, Excel), implementation readiness, and cross-functional alignment to scale trusted, automated customer analytics and reduce manual reporting.

Perform data conversions and imports from diverse sources (text, PDFs, Excel). Clean, validate, reconcile, and audit employee demographics and payroll history using SQL and automation tools. Troubleshoot issues, document processes, and collaborate with implementation stakeholders to deliver accurate, timely conversions and improve automation.

Support the Engineering team by assisting with data ingestion, transformation, and pipeline development; perform exploratory data analysis and visualizations; build/query SQL databases; contribute to codebases using Git; document pipelines and findings; complete well-scoped software tasks under mentorship.

Lead analytics strategy for federal programs: perform statistical modeling, forecasting, and data mining; build dashboards and automated workflows; ensure NIST/FISMA compliance and data quality; present findings to government stakeholders; mentor junior analysts and manage analytics workstreams.

Lead hands-on development and validation of travel demand models and transit forecasts using statistical and programming tools; manage projects, client relationships, and staff; support business development and present technical findings.