Top Data & Analytics Jobs in Los Angeles, CA

As a Data Scientist, you will help establish the data science function at Atticus, designing metrics, building data pipelines, running experiments, and launching models. Your work will ensure data-informed decision-making across teams and generate insights to improve client experiences and outcomes.

As a Data Engineer on the Decision & Insights Team, you will build scalable ETL pipelines, manage data warehousing solutions, and ensure data quality through rigorous testing. You'll collaborate with stakeholders and implement data security practices, helping to make high-quality datasets available while adhering to privacy regulations.

As a Senior CAO Analyst at CrowdStrike, you will be responsible for providing cyber threat analysis, maintaining customer satisfaction, and preparing intelligence reports related to threat intelligence and hunting. You will engage regularly with customers and internal teams while developing strategies to enhance customer relationships.

As a Lead Data Engineer at Ruggable, you will modernize the data ecosystem by architecting scalable infrastructure utilizing cloud EDW technologies and AWS services. Your role involves designing ELT pipelines, optimizing performance, mentoring junior engineers, and ensuring compliance with best practices while aligning data strategies with business goals.

The Systems Analyst III at Wipfli supports and enhances the implementation of Workday ERP by analyzing business needs, providing technical support, documentation, training, and serving as a liaison between business users and the product team. This role involves leading projects, vendor management, and ensuring efficient technology changes that align with business requirements.

The RevOps Analyst will analyze and optimize revenue processes, manage data analytics and reporting, and implement operational improvements within the organization to enhance efficiency and revenue generation. The role requires strong collaboration with Sales teams and the ability to derive insights from data for strategic decision-making.

As a Lead Data Engineer at Disney, you will develop and enhance feature store tooling and services, collaborate on streaming data ecosystems, and create low-latency services for event-driven pipelines. You will work with diverse teams to drive innovation within Disney's ML infrastructure and ensure a culture of quality in an Agile environment.