Top Data & Analytics Jobs in Los Angeles, CA

Join Rubrik's talent community to stay connected for future career opportunities. The company focuses on data security, helping organizations protect against cyberattacks and ensuring data resilience in adverse conditions. Rubrik values diversity, equity, and inclusion in the workplace.

The Senior GTM Systems Analyst will oversee the post-sales systems strategy, manage projects, build relationships with stakeholders, and ensure continuous improvement of processes and tools to enhance customer satisfaction. This role emphasizes technology ownership and requires a detail-oriented, strategic approach to system optimization.

Seeking an experienced Senior Data Engineer to design, develop, and maintain scalable data pipelines and infrastructure. Responsibilities include data integration, quality assurance, and exploring new technologies. Requires 5+ years of data engineering experience, proficiency in Azure services, Python scripting expertise, and strong communication skills.

The Integration Analyst is responsible for monitoring EDI operations, ensuring efficient and accurate invoice transactions, onboarding and integrating clients, testing EDI document transmissions, and improving operational efficiency. They collaborate with clients and analyze issues proactively.

The Developer Architecture Analyst role at Imply involves gathering insights from Apache Druid users, maintaining qualification criteria for real-time analytics databases, deploying and evaluating technologies, and shaping marketing content. You'll also influence product roadmaps based on data collected and provide educational materials for developers.

As a Quality Assurance Analyst, you will develop and maintain test frameworks, write test plans and cases, perform various testing types including regression and smoke testing, coordinate with teams to ensure understanding of requirements, and ensure compliance with accessibility standards.

The Data Engineer will design, develop, and maintain data architecture and pipelines, optimize data sources, implement cloud security, and mentor analytics professionals. They will work on complex data problems, foster best practices, and code in SQL to create curated data products.

The Staff Data Scientist is responsible for analyzing real-world data to generate insights and develop machine learning models for Abbott Diabetes Care. The role involves working with large datasets, conducting advanced statistical analyses, and collaborating with various teams to drive product development. The position also includes educating team members and contributing to departmental processes.

Facilitates the design and development of prototype continuous in-dwelling analytical sensors. Works closely with product development team to harmonize prototype designs with manufacturing requirements. Designs, fabricates, and tests in-dwelling continuous analytical sensors, primarily electrochemical. Analyzes in-vitro results and recommends strategies for improving sensor performance. Interfaces with clinical and regulatory resources for in-vivo testing of sensor prototypes. Provides technical assistance for diagnosing design and manufacturing quality problems. Guides development of test plan protocols, SOPs, specifications, and test procedures.