Top Data & Analytics Jobs in Los Angeles, CA

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.

Lead and evolve Dynamic Pricing and benefit relativity platforms, ensuring compliance and accuracy in pricing through strong actuarial judgment and modern data tools.

As an Associate Actuarial Director / Data Scientist, you'll conduct hospital claim re-pricing studies, develop SAS/Python solutions, and communicate findings. Focus on data extraction and analysis within healthcare environments is essential.

Lead data architecture strategies, drive innovation in data solutions, and oversee compliance with governance and security policies while collaborating with stakeholders to align technical solutions with business needs.

The Senior Cost Estimating Specialist leads cost estimating efforts for government projects, develops cost estimates, and ensures compliance with regulations.

Responsible for scientific oversight and quality of late-stage oncology clinical trials, partnering with colleagues to ensure successful execution, protocol authoring, and data analysis.

Support Middle Market Banking team with credit file management, financial reporting, and compliance tasks, while coordinating with various teams and systems.

Design and implement large-scale data warehouses, optimize data pipelines using SQL and dbt, and mentor teams in data best practices.