Top Data & Analytics Jobs in Los Angeles, CA

The Principal Data Engineer will design and implement enterprise data frameworks, mentor teams, and ensure data quality while collaborating with stakeholders.

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 role involves developing data warehousing solutions, creating insightful dashboards, and engaging stakeholders to drive data-driven business decisions.

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

The Analytics Manager will lead a team of analysts, focusing on data product delivery in the life insurance sector, while ensuring quality standards and mentoring team members.

The Health Data Consultant will engage with clients, provide analytical support, lead pricing consultations, and help interpret AI model outputs for health insurance decisions.

Lead Engineer for Business Systems focusing on Salesforce, overseeing technical strategies, system enhancements, and cross-team collaboration to optimize workflows and support system governance.

Validate, clean, curate, and analyze datasets; perform data quality assurance and monthly operational pipelines; research healthcare topics; manage multiple projects; suggest process improvements and maintain working knowledge of Garner's data processes and infrastructure.

As an SEO Analyst, you will analyze data to improve SEO strategies, provide performance reports, and collaborate with teams to enhance user experiences and brand visibility.

Analyze user behavior data to identify friction points, recommend changes for conversion optimization, and collaborate with teams to improve user flows through data-driven insights.

Lead statistical consulting and programming for clinical trials: design and finalize SAPs, develop randomization and IVRS specs, create and validate ADaM/SDTM analysis datasets, generate tables/listings/graphs, perform analyses (including interim/blinded), mentor/QA programmers, and support regulatory reporting and ad-hoc analyses.