Top Hybrid Data & Analytics Jobs in Los Angeles, CA

As a Senior Manager in Data Engineering, you will lead teams to design data architectures, develop data solutions, manage client engagements, and ensure compliance with data governance policies.

Lead the development and deployment of data solutions with Palantir Foundry, driving projects, mentoring teams, and engaging with clients to solve complex problems.

Lead data engineering projects, develop and implement data pipelines and architecture strategies, manage data quality, and mentor team members at PwC.

The Data Scientist will conduct advanced analytics, focusing on care gaps and segmentation of healthcare professionals using real-world data. Responsibilities include planning analyses, preparing datasets, developing predictive models, and collaborating with product managers to communicate insights.

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 Staff Data Analyst at Crunchyroll, you'll lead analytical work to shape content strategy, define measurement frameworks, build data assets, and deliver insights for strategic decisions.

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

Intern will design and execute quantitative analyses, build reporting tools, conduct revenue analyses, and learn about the ad tech industry while collaborating cross-functionally.

As a Data Engineer Intern, you'll develop and maintain data pipelines, support ETL processes, analyze data, and complete a capstone project, while learning from experienced mentors.

The Global Indirect Tax Automation Manager will manage third-party tax systems and custom billing system implementations, focusing on requirements gathering, design, build, and testing.

The Senior Data Scientist will develop AI models, enhance ad performance insights, conduct experiments, and advocate for new products while collaborating across teams.

The Partner will lead US Data Labs, ensuring strategic operations, managing cross-functional teams, and driving growth through advanced analytics and data integration.

The Data Scientist will support various projects involving predictive modeling, machine learning, and data visualization while collaborating with teams to enhance business processes.

Responsible for leading the MDM strategy, ensuring data accuracy and consistency, designing MDM lifecycles, and mentoring a team of data stewards.