Top Hybrid Data & Analytics Jobs in Los Angeles, CA

Lead strategic insights and ad measurement projects, analyze complex datasets, craft narratives connecting brand lift to business outcomes, partner with clients and cross-functional teams, and drive process improvements and customer-facing recommendations.

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.

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.

Analyze survey and secondary data using statistical and multivariate techniques. Clean, structure, code, and summarize datasets; use SPSS, R, Excel, Python, and VBA to conduct analyses and automate procedures. Prepare Excel outputs and PowerPoint presentations, explain findings to internal and external clients, support analytic planning, and ensure accurate, timely delivery of market research work.

Leads attribution, performance measurement, experimentation, marketing mix modeling, and analytics strategy for an automotive brand. Builds unified measurement frameworks, translates insights into media and growth recommendations, establishes benchmarks, and guides incrementality studies and test-and-learn programs. Serves as a senior advisor to executive stakeholders, aligns cross-functional and external partners, and develops analytics talent while driving scalable, rigorous measurement practices.

Lead analytics for digital and brand campaigns: define KPIs, build reporting and dashboards, analyze data to generate insights and optimizations, communicate findings to clients and cross‑functional teams, and support measurement strategy for existing clients and new business pitches.

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.