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

The Senior Data Modeler will analyze business needs to create long-term data models, optimize SQL systems, maintain data integrity, and establish design standards for data modeling at BILL. They will support the customer experience and operations teams in enhancing data workflows and insights.

As a Data Scientist at Airtable, you will partner with product teams to drive insights and identify business opportunities, manage experiments, build a data culture, and communicate findings through storytelling and visualizations.

The Senior Analyst, Threat Management is responsible for monitoring and analyzing threats, conducting vulnerability assessments, collaborating with teams for security integration, and improving overall security processes. They will also prepare risk analyses, reports, and assist in security training initiatives.

The ServiceNow Business Process Consultant will help clients adopt ServiceNow best practices by analyzing business needs, leading process improvement workshops, and ensuring solutions align with client expectations. They will also manage client relationships and provide mentoring to team members while acting as the Subject Matter Expert in relevant areas.

As a Senior Analytics Engineer at Apollo.io, you will design and maintain data models, implement data engineering standards, and collaborate cross-functionally to deliver scalable data solutions. You will influence analytics infrastructure and provide strategic insights for business decision-making.

The Senior Analyst will lead research study design, apply advanced statistical methods for survey and data analysis, mentor junior analysts, consult with clients on analytic solutions, and support business development initiatives. Responsibilities include project management, effective communication of findings, and overseeing data collection and evaluation efforts.

As a Senior Data Engineer at Hims & Hers, you will design and develop scalable data pipelines, optimize performance and data quality, and build infrastructure for data extraction and loading. You will collaborate with various teams to ensure data reliability, support analytics tools, and help deploy machine learning models while maintaining best practices in data management and compliance.