Top Hybrid Data & Analytics Jobs in Los Angeles, CA

As a Staff Data Engineer, you will lead data engineering initiatives, architect and build scalable data pipelines, and mentor teams, enhancing Crunchyroll's data infrastructure within AWS and GCP environments.

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

As a Senior Manager in Data and Analytics Engineering at PwC, you'll design data architecture strategies for healthcare, mentor teams, influence stakeholders, and enhance healthcare operations through data solutions.

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

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 Associate Director, Biostatistics is responsible for statistical guidance in clinical study design, data analysis, and regulatory submissions, leading clinical study teams to ensure timely and quality outcomes.

Lead the strategy and governance for enterprise-wide data quality initiatives, ensuring data accuracy and regulatory compliance while managing a high-performing team.

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

The Strategic Research Lead will act as the primary contact for market research clients, manage research projects, ensure client satisfaction, and deliver actionable insights based on data analysis.

The Systems Analyst, Debt will analyze business needs and create scalable technology solutions for managing commercial real estate debt investments, including building data pipelines and automating workflows.