Top Remote Senior Level Data & Analytics Jobs in Los Angeles, CA

The Senior Analyst, FP&A will develop financial models, support management with strategic insights, manage budgets, and communicate financial analyses to stakeholders.

The Principal Fraud Analyst will lead risk framework evolution, develop fraud metrics, collaborate on scalable solutions, and enhance risk detection capabilities in payments.

Lead analytics implementations using Google Analytics and Tag Manager for clients, providing mentorship and managing projects with a focus on enhancing clients' digital strategies.

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

Lead analytics strategy for a financial institution, ensuring compliance and driving marketing analytics through predictive modeling and team management.

The Senior Data Analyst will analyze data, build models, and provide insights to support decision-making for operational and leadership teams, while collaborating with technical and non-technical stakeholders.

Lead the ML Data Enablement team to define strategy and execution for accelerating third-party and internal data onboarding, enforce data quality and SLAs, build metadata and lineage standards, and deliver scalable data infrastructure and workflows to reduce time-to-production for ML models.

Lead Pager Health’s enterprise data and reporting strategy, build a centralized data and reporting shared services function, own internal dashboards and client-facing analytics, partner with Product and Engineering on data architecture and governance, mentor data teams, prioritize and deliver data initiatives, and drive continuous improvement in tooling, automation, and data storytelling to support growth, efficiency, and client outcomes.

Lead and grow a casino analytics team to measure, diagnose, and optimize Casino revenue performance. Provide strategic analytics support to Revenue Operations, run deep-dive customer and promotion analyses, build scalable monitoring/alerting frameworks, translate insights into actionable recommendations, and manage an analytics roadmap prioritizing short-term wins and long-term AI-enabled strategies.

Lead a unified analytics organization for Marketing and Product, define shared metrics and measurement frameworks, deliver executive-ready insights, build forecasting and experimentation programs, partner with engineering and privacy teams, and hire and mentor multi-layer analytics teams to drive product adoption and business outcomes.