Top Hybrid Data & Analytics Jobs in Los Angeles, CA

Provides analytics and strategic advisory support for mergers, acquisitions, and other business transactions. Analyzes contract data to identify risks, obligations, performance insights, and compliance indicators; develops algorithms, data models, pipelines, dashboards, and predictive models using Python and machine learning. Collaborates with clients and internal teams, validates data integrity and security, mentors junior staff, and delivers data-driven recommendations.

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

Design, build, and own scalable ETL/ELT pipelines, data models, and data infrastructure. Improve data quality, observability, performance, and CI/CD for data workflows. Partner with analytics, ML, software, and product teams, mentor engineers, and resolve complex data issues.

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.

Leads DMM’s social analytics team, establishing measurement frameworks, reporting infrastructure, dashboards, campaign KPIs, benchmarks, and ROI models. Presents data-driven recommendations to clients, mentors analysts, evaluates analytics tools, implements relevant AI solutions, and partners with strategy, creative, partnerships, and platform teams to align measurement approaches. Requires extensive paid and organic social expertise, strong data storytelling, client relationship management, and proficiency with visualization, social, and reporting platforms.

Lead A+E's first-party customer data strategy and Analytics Engineering to build a composable CDP and identity infrastructure. Define audience use cases, activation pipelines into Iterable/Adobe, ROI/KPI frameworks, and integrate owned signals with paid media measurement. Partner cross-functionally to embed first-party data into marketing, product, and revenue decisions while ensuring privacy and scalable data governance.

As a Senior Data Engineer, you will design and operate data transformation pipelines, workflows, and AI-assisted data visualization tools, collaborating with an experienced team.

The Global Indirect Tax Automation Manager will manage third-party tax systems and custom billing system implementations, focusing on requirements gathering, design, build, and testing.

Design and govern enterprise semantic models in Microsoft Fabric and Power BI, author complex DAX and queries, enable NLQ/Copilot and AI integrations, coach report developers, lead stakeholder requirements, and implement governance, performance optimization, security, and AI-readiness across reporting domains.

Lead and grow an analytics team to develop, productionalize, and deploy marketing measurement models (MMM, MTA), run A/B tests, produce insights and dashboards, collaborate with clients and cross-functional teams, and operationalize data pipelines for media optimization and business impact.