Top Hybrid Data & Analytics Jobs in Los Angeles, CA

The Senior Insights Manager analyzes campaign data, delivers actionable insights, engages with customers, and collaborates across teams to optimize performance and achieve business goals.

The Senior Analyst in FP&A will conduct data-driven analysis to guide budgeting, forecasting, and performance reporting, focusing on streaming membership benefits.

The Staff Data Engineer will design and build data pipelines, reports, and tooling for the Concepts Lab, ensuring reliable AI systems and leading data modeling and analytics efforts. The role requires extensive experience in production data systems and collaboration across teams to transition concepts into production.

Lead data-driven strategies and analytics at PwC, motivating teams to improve business performance and decision-making through advanced techniques and collaboration.

The role leads Clinical Data & Information Sciences in drug development, ensuring data integrity, compliance, and continuous improvement while collaborating with cross-functional teams to enhance business processes and experience.

The Business Analyst supports Digital Ad Sales technology, managing user requests, maintaining relationships, troubleshooting issues, and enhancing systems. They collaborate with various teams and ensure effective communication with users.

As a Senior Forward Deployed Accountant, you will architect and automate accounting processes, engage with CFOs, troubleshoot technical issues, and drive AI-driven transformation across enterprise accounts.

The Analytics Engineer develops data models and KPIs, ensuring data reliability for decision-making while collaborating across multiple departments at Crexi.

Lead analytical studies to enhance Snap's SMC business, mentor a team of analysts, and develop data-driven strategies to inform growth and sales decisions.

The Log Specialist at Dynatrace leads log management initiatives, collaborates with sales, architects data ingestion solutions, and advocates for enhanced log consumption strategies.

The Senior Data Engineer will design and optimize large-scale batch and streaming data pipelines using Scala and Spark, oversee the data engineering lifecycle, and engage in technical discussions to improve system efficiency.