Top Hybrid Data & Analytics Jobs in Los Angeles, CA

Supports data analysis projects in PwC’s Advisory practice, researching datasets, identifying patterns, integrating data, and creating dashboards and visualizations with Alteryx and Power BI. Assists with algorithm development, analytics automation, and data-driven insights for clients. The internship emphasizes learning PwC methodologies, collaborating with experienced professionals, and gaining exposure to AI, cloud platform design, and data architecture.

Leads third-party advertising measurement strategy, partner governance, benchmarking, meta-analyses, and analytics innovation. Advises senior executives, influences cross-functional roadmaps, develops measurement playbooks, presents industry thought leadership, and builds measurement capabilities across Sales, Product, Marketing, and Partnerships. The role requires advanced statistical and causal inference expertise, hands-on SQL and visualization skills, and more than ten years of advanced analytics and measurement experience.

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.

Own and evolve the end-to-end product analytics platform, including instrumentation, event collection, ingestion, raw data storage, data pipelines, analytical models, metrics, dashboards, quality monitoring, observability, lineage, and governance. Partner with software engineers to ensure analytics data is accurate, scalable, traceable, and reliable for business and product decision-making.

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.

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.