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

The Senior Data Analyst will lead analytics projects, translate complex data into insights, and support product strategies across various teams, ensuring data-driven decision making.

The Senior Analyst will support the personalization algorithm by conducting analyses, testing features, managing projects, and collaborating with teams to improve food recommendations for customers.

The Senior Product Analyst collaborates with Product Managers to analyze data, identify metrics, and provide recommendations to shape product strategy and improve customer experience.

As a Snowflake Data Architect, you will provide ETL support and specialize in Snowflake management, ensuring performance, governance, and optimization of data infrastructures.

The Strategist III, Value Analytics will own strategic workstreams, revamp dashboards for billing data, conduct analyses, and lead independent projects, improving Cedar's reporting suite.

Design and implement scalable go-to-market intelligence workflows and automation. Define business requirements for reports and dashboards, partner with Product and Analytics, improve Data Cloud tool adoption, document processes, support integrations, and deliver automation-aligned pre-sales and client-facing materials.

The Senior Business Intelligence Analyst will enhance reporting capabilities, analyze data, and provide insights to internal and external clients, driving strategic decision-making and client success.

The Senior Data Engineer will design and implement data architectures and pipelines, ensure data quality, automate processes, and collaborate with stakeholders to provide actionable insights using AI and big data technologies.

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.

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

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.