Top Remote Analysis Reporting Jobs in Las Vegas, NV

Lead the design and implementation of innovative data models for finance and actuarial use cases, mentoring team members and fostering client interactions.

Join Welo Data to provide high-quality AI datasets including annotation, labeling, and data collection in multiple languages.

As a Senior Data Analyst, you'll partner with business areas to enhance decision-making through data analysis, build dashboards, and perform strategic research to optimize business practices.

As a Senior Data Analyst at Circle, you'll partner with business units to leverage data for decision-making, create dashboards, and conduct analyses. Your role will include developing scalable solutions and communicating insights effectively across the organization.

As a Senior Data Analyst, you will translate business needs into analytics, create dashboards, conduct analyses, and derive insights to support decision-making.

The Senior Manager of Analytics Engineering will lead a team to develop data infrastructures, ensure operational efficiency, and align with cross-functional partners to support strategic decisions.

As a Lead TMS Compliance Analyst III, you'll conduct Transaction Monitoring investigations, draft SARs, and ensure compliance with regulatory standards.

This role oversees a team that analyzes MetLife's mortgage portfolios, delivers high-impact analytics, and collaborates with various stakeholders for reporting and compliance.

The Sr. Pricing and Monetization Analyst will develop pricing models, conduct market analysis, support deal monetization, and automate KPI dashboards to optimize pricing strategies and revenue.

The Lead Analyst for Operational Strategy will enhance underwriting efficiency by partnering with leadership, leading analysis, optimizing processes, and mentoring junior analysts.

This role involves advanced data transformations, analysis and visualization to support financial and operational insights, particularly in a B2B SaaS environment.

Design and maintain scalable data pipelines, collaborate with cross-functional teams, manage data architectures, optimize Snowflake performance, and enhance data workflows.