Top Data & Analytics Jobs in Los Angeles, CA

Support Boeing Global Services Commercial Modifications by developing and maintaining Tableau and Power BI dashboards, building API-driven ETL/data pipelines, cleaning and validating data, creating PMO reporting templates, tracking KPIs and scorecards, and collaborating with cross-functional teams to improve data quality and reporting efficiency.

Lead Deals practice analytics by applying advanced analytics, visualization, and statistical modeling to extract insights, advise clients, drive business development, maintain executive client relationships, oversee multiple projects, ensure data integrity and security, promote innovative analytics technologies, and mentor analytics teams to deliver client growth and thought leadership.

As the People Data Specialist, the role involves managing HR analytics, ensuring data integrity, building dashboards, and supporting strategic people initiatives with data-driven insights.

The Senior Data Engineer will design and build data pipelines, manage data architecture, ensure privacy compliance, mentor team members, and collaborate with cross-functional teams.

Lead analytical studies to enhance Snap's SMC business, mentor a team of analysts, and develop data-driven strategies to inform growth and sales decisions.

The Solutions Data Engineer will manage data integrations end-to-end, utilizing FloQast's Data Platform and Data Studio to connect source systems and transform data for reliable outputs across applications.

The Log Specialist at Dynatrace leads log management initiatives, collaborates with sales, architects data ingestion solutions, and advocates for enhanced log consumption strategies.

The Analytics Engineer develops data models and KPIs, ensuring data reliability for decision-making while collaborating across multiple departments at Crexi.

The Sr. Analyst in Pricing Analytics drives data-driven strategies for GoodRx by analyzing pricing, collaborating with cross-functional teams, and developing dashboards to support business decisions.

The Staff Data Engineer will design and build data pipelines, reports, and tooling for the Concepts Lab, ensuring reliable AI systems and leading data modeling and analytics efforts. The role requires extensive experience in production data systems and collaboration across teams to transition concepts into production.