Top Hybrid Data & Analytics Jobs in Los Angeles, CA

Lead customer analytics engagements using data manipulation, visualization, statistical and predictive modeling. Build and maintain data pipelines, deploy scalable Power BI/Tableau solutions, manage and mentor teams, collaborate with client leadership to identify opportunities, and drive technology-enabled, data-driven decisions.

Lead the development and implementation of data architecture strategies, mentor a team to deliver solutions, and collaborate with stakeholders to enhance resources while ensuring project success and quality outcomes.

The Senior Insights Manager analyzes campaign data, delivers actionable insights, engages with customers, and collaborates across teams to optimize performance and achieve business goals.

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 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.

Support Film & TV Studios analytics by translating stakeholder questions into analytical frameworks, building dashboards and self-service BI, writing advanced SQL, partnering with data engineering for pipelines and data quality, delivering insights through visualization and presentations, and contributing to advanced analytics initiatives including forecasting and ML/AI use cases.

As a Senior Forward Deployed Accountant, you will architect and automate accounting processes, engage with CFOs, troubleshoot technical issues, and drive AI-driven transformation across enterprise accounts.

Lead pricing analytics for GoodRx Companion subscription: build forecasting and elasticity models, optimize pricing to drive signups and unit economics, create dashboards and reports, analyze fill patterns, and deliver actionable insights to cross-functional stakeholders to improve program performance.

Lead product data analytics: analyze large datasets, build models and dashboards, design and evaluate A/B tests, advise product decisions, automate analytics with AI-enabled tools, and collaborate with global R&D and product teams to deliver actionable insights.

Design and define enterprise data architecture, standards, and roadmaps to create trusted, governed, secure, and scalable data foundations across cloud/hybrid platforms. Build models, integration patterns (batch/streaming/event/API), metadata, lineage, quality, and governance to enable analytics and emerging AI use cases, partnering with engineering, product, analytics, security, and business stakeholders.

The Power BI Developer will build enterprise data models, develop and publish reports and dashboards, assist users with data requirements, and work on Azure technologies to support government initiatives.

The PostgreSQL Database Developer will manage the migration from Oracle to PostgreSQL databases, ensure system performance, monitor databases, and maintain technical documentation.

The role involves archiving and purging Relativity workspaces and file shares, collaborating with management, and documenting the archiving process.