Top Data & Analytics Jobs in Las Vegas, NV

The Strategy Analyst provides analysis and strategic recommendations to enhance sales, underwriting, marketing, and operations, leveraging data to drive business growth and improve operational efficiency.

The Head of Data will build and manage a centralized data hub, integrating infrastructure and governance to support AI transformation, while driving measurable business value through strategic data initiatives and strong team leadership.

The National Applications Specialist implements automation systems in diagnostics laboratories, providing technical support, leading teams, and facilitating training and workflows for clients.

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 evolve enterprise data architecture and standards, produce technical artifacts, build conceptual/logical/physical models, define integration patterns and data contracts, ensure data quality/lineage/governance, perform profiling, and mentor teams to align data structures with business needs.

As an AI Data Annotation Specialist, you will annotate, label, and curate data for machine learning models, ensuring quality and collaboration with a global team.

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.

Seeking a temporary Senior Data Analyst for a data cleanup project focused on reviewing and correcting Salesforce account and billing information to ensure data accuracy.

The Technical Records Specialist I analyzes and audits aviation maintenance records, ensuring data accuracy and compliance with FAA regulations and company standards.

The Program Director of Data & Analytics at Prologis will lead teams in transforming data through AI, overseeing budgets, resource allocation, and ensuring effective use of analytics tools while driving adoption and continuous improvement across data initiatives.