Top Data & Analytics Jobs in Los Angeles, CA

As a Manager in Data Governance at PwC, you will lead data governance strategies, supervise teams, manage client accounts, analyze data for decision-making, and ensure compliance with standards.

As a Senior Manager in Data and Analytics, lead transformative AEM projects, mentor teams, ensure quality, and drive innovation.

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

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

Thrive Market seeks a Senior Data Engineer to deliver data engineering solutions, collaborate across teams, and manage data architecture, focusing on complex data processing and streaming frameworks.

Lead strategy and operations for customer support technology integration and analytics at Boeing, overseeing cross-functional teams and driving innovation in data management and insights for operational performance.

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.

As a Senior Reporting Analyst, you'll investigate and report on health care fraud, develop reporting applications, enhance data analytics, and ensure compliance with regulations.

The SVOD Strategy Senior Manager will analyze subscriber data, build forecasting models, and optimize strategies to improve SVOD performance and revenue.

As a Data Engineer, you will design, implement, and maintain data systems for Notifications at Whatnot, ensuring data quality and performance while collaborating with cross-functional teams on data architecture and workflows.

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.