Top Senior Level Data & Analytics Jobs in Los Angeles, CA

Join Restaurant365 as a Sr Data Engineer and be a technical leader in enabling the flow of information and analytics across the company. You will design and develop data objects, pipelines, and control processes, partner with stakeholders to understand their needs, and drive continuous improvements. A deep understanding of data warehousing, data engineering, business intelligence, and analytics is required.

Senior Business Analyst for Film and TV Studios responsible for defining and implementing application design and build. Engage with Studio partners to understand business processes, gather requirements, and liaise between Business end users and Product/Engineering teams. Responsibilities also include fit-gap analysis, vendor selection, and preparing stakeholder presentations.

Join our dynamic team as a talented Data Engineer tasked with maintaining and expanding the data warehouse. Collaborate with cross-functional teams to develop scalable systems, data pipelines, and algorithms in Python. Ensure data integrity, system performance, and contribute to machine learning models. Expertise in SQL, NoSQL, REST APIs, and cloud platforms is essential.

As a Senior Data Analyst at Square Banking, you will partner with cross-functional teams to drive data-informed product decisions and enhance the cash flow experience for small businesses. You will analyze customer data, develop insights, and communicate key findings to stakeholders and executives.

Develop models, statistical analyses, and machine learning algorithms to predict marketing outcomes. Provide analytical support for marketing and advertising campaigns. Mentor junior data scientists and drive best practices in marketing research.

Perform structural analysis, generate FEMs, conduct aero-structural analysis, develop internal tools, and support flight vehicle structural certification efforts in a defense technology company focused on transforming military capabilities with advanced technology.

Seeking an experienced engineer to join the Machine Learning Foundations team to build self-service tooling for the model lifecycle, collaborate with internal customers, and work on the entire machine learning lifecycle.