Top Remote Analysis Reporting Jobs in Las Vegas, NV

The Director of Data & Analytics will lead the internal analytics function, developing data models, analytical frameworks, and savings methodologies to support value-based care and market expansion at RightMove.

The QA Analyst is responsible for ensuring product excellence through user requirement testing, defect management, and automation of software workflows. They create test cases, prioritize execution, conduct exploratory testing, and work closely with QA engineers to enhance automation coverage.

The Data Quality Executive maintains accuracy in Cision's media database, conducts research on media outlets and journalists, writes summaries for newsletters, and manages data quality projects.

Serve as an AI/ML-focused solution engineer for Healthcare & Life Sciences: provide technical guidance, design cloud data and lakehouse architectures on Snowflake, lead demos and proofs-of-concept, support sales cycles, collaborate with product and engineering, and communicate AI/ML value to technical and executive stakeholders.

The Insights Analyst will provide expertise in employee engagement and performance management, assist customers with surveys, analyze results, and recommend actions while coaching best practices to ensure efficient service delivery.

As a Data Analyst at Wellthy, you will analyze data, create reports, and integrate AI tools to improve efficiency in data workflows and decision-making.

The Senior Data Engineer will design and maintain data infrastructures, support analytics, and collaborate with stakeholders to improve data quality and governance while utilizing DBT and AWS tools.

Manage underwriting analytics, collaborate with cross-functional teams, drive operational improvements, and enhance training for underwriters.

The Business Intelligence Analyst will analyze pharmaceutical transaction data, develop visual data models, and collaborate cross-functionally to drive insights and improvements in business strategies.

As a Senior Data Analyst, you will translate business requirements into technical data specifications, manipulate large datasets, and support data initiatives while partnering with clients and teams to improve data quality and governance.