Top Data & Analytics Jobs in Los Angeles, CA

The Senior Data Analyst will focus on revenue analytics to support customer retention and growth. Responsibilities include deriving insights, defining KPIs, facilitating quick decision-making through data analysis, executing A/B experiments, and mentoring junior analysts.

The Senior Information Security Analyst prepares and facilitates security examinations, collaborates with the Information Security, Risk, & Compliance team, identifies business risks, manages vendor security assessments, and enhances security awareness across the organization.

The Senior Data Engineer will design, develop, and manage scalable data architectures and pipelines, primarily using cloud platforms like Azure. Responsibilities include data integration, modeling, optimization, and mentoring. The role emphasizes collaboration with cross-functional teams to ensure data infrastructure supports analytics and drives decision-making.

The Claims Data Analysis and Reporting Manager will drive data analytics, create reports, and visualize data to support the Claims business team. This role involves collaborating with data engineering to establish data infrastructure, performing predictive analytics, and optimizing claims processes through insightful analysis and modeling.

The Revenue Operations Senior Analyst will manage pipeline reporting and forecasting, design compensation plans, conduct data analysis, and collaborate with sales teams to enhance operational efficiency. Responsibilities include maintaining reports, supporting sales enablement, and optimizing processes through automation.

As a Research Engineer at Chainlink Labs, you will define research agendas, drive projects that enhance decentralized oracle technologies, and maintain Chainlink's leadership in smart contract ecosystem solutions, while collaborating with a cross-disciplinary team to innovate in applied cryptography and security.

The Senior Data Analyst will work with the finance team to develop and improve reporting infrastructure, ensure accurate company metrics, collaborate with analytics teams, and create data visualizations for business insights.