Top Senior Level Data & Analytics Jobs in Las Vegas, NV

The Data Engineering Lead at Equip will oversee the development of data infrastructure and pipelines, ensuring data availability and reliability to improve patient lives. Responsibilities include designing engineering projects, providing technical guidance, maintaining data quality standards, and collaborating with stakeholders.

The Principal Scientist will manage and oversee non-clinical and clinical biomarker bioanalysis, including method development, validation, and interactions with specialty labs. Responsibilities include collaboration with cross-functional teams, maintaining quality assurance, and contributing to the development of novel therapeutics. This role requires a strong background in bioanalytics, laboratory management, and the drug discovery process.

The Associate Director, Data Analytics will lead the Data Analytics team, ensuring quality service for TMC members through data visualizations, analysis, and strategy. Responsibilities include setting team priorities, managing staff, coordinating member-facing product development, and implementing best practices in data management.

As a Data Architect, you will design and implement data strategies for clients utilizing Google Cloud and Azure technologies. Responsibilities include architecting data warehouses, migrating data, and providing educational workshops. You will serve as a liaison between business and technology teams, ensuring effective architecture solutions are in place.

As a Sr. Data Scientist at Houzz, you will collaborate across teams to define and launch data science initiatives, manage key business metrics, design experiments, and own project execution to provide actionable insights that drive product development and business direction.

The Lead GRC Analyst will develop and implement GRC strategies and policies to ensure compliance with regulatory standards. This role includes managing risks, conducting audits, collaborating with teams, mentoring analysts, and maintaining an effective information security program. The candidate must have strong knowledge of industry regulations and risk management frameworks.

As a Sr Data Engineer, you will enhance data infrastructures for machine learning, manage data pipelines, develop complex queries, collaborate to deliver data solutions, and troubleshoot data issues. You'll be involved in implementing AI-based systems at a petabyte scale.