Top Remote Senior Level Analytics Jobs in Las Vegas, NV

As a Senior Data Engineer (AI), you will design and maintain data pipelines, manage infrastructure, and integrate AI/ML applications. This role involves collaboration across teams to enhance data-driven decision-making and cybersecurity solutions.

The Senior Researcher will support evaluation projects by managing research tasks, developing reports and data visualizations, analyzing data, and collaborating with teams to meet client needs. This includes leading evaluation studies in areas like emergency preparedness, providing quality checks, and contributing to proposals while balancing multiple projects.

The Lead Credit Analyst will conduct trend and portfolio analysis, optimize underwriting and credit decision-making, and collaborate with Analytics and Data Science teams. This role involves mentoring team members and promoting a data-driven culture.

The Senior Data Analyst will evaluate the impact of iMentor's programs by gathering and analyzing data, creating reports and visualizations, and providing analytics support across departments. The role requires a focus on data quality and measurable outcomes to improve program effectiveness.

The Data Conversion and Migration Lead will oversee data migration activities, including developing data cleansing strategies, managing data migration security, and coordinating data validation efforts. This role involves supporting the transition to a new financial system, ensuring accurate data flow, testing migration plans, and documenting all activities.

As a People Analytics Manager, you'll analyze people data to uncover insights that drive people-related decisions, partner with senior stakeholders to test hypotheses, and ensure proper access to data and tools for stakeholders.

The Financial Data Scientist will analyze customer churn and deactivations, leveraging data to identify trends and develop forecasting models. Responsibilities include collaborating on retention strategies, conducting root cause analysis, and providing strategic recommendations to enhance customer retention. Proficiency in Python, SQL, and Alteryx is required for data analysis and reporting.