Top Data & Analytics Jobs in Los Angeles, CA

The Sr. Specialist, Business Intelligence Engineer analyzes data to aid business decisions, optimizes performance, builds dashboards, and collaborates with teams to drive revenue insights.

The Senior App Experience Analyst will analyze customer experience trends, identify automation opportunities, mentor juniors, and engage with cross-functional teams to improve app performance metrics.

The Sr. Business Analyst will act as a liaison between business partners and IT, support Studio Finance’s technology needs, manage projects, and enhance existing systems.

As an entry-level Financial Analyst, you'll support financial operations, analyze data, and assist in preparing reports and forecasts using Excel and other productivity tools.

Manage projects and teams to leverage data and technology in M&A, driving strategic insights and improving deal decisions through advanced analytics and AI.

The Senior Data Analyst will lead analytics projects, translate complex data into insights, and support product strategies across various teams, ensuring data-driven decision making.

The role involves analyzing large datasets to generate insights, measuring business performance, and optimizing processes by collaborating with product owners and internal partners.

As a Partner Optimization Analyst, you will optimize partner pricing, oversee affiliate platform operations, manage performance reporting, and ensure accurate payout and margin management to drive profitability across the affiliate network.

The Director of Revenue Analytics will lead a team to provide financial data analysis and insights, driving decision-making across the company. They will manage a team of analysts and oversee metrics related to revenue and marketplace performance.

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.

The Data Scientist will develop end-to-end models using automated data pipelines, evaluate business opportunities, and collaborate with teams for optimization tests.