Top Hybrid Data Analysis Jobs in Los Angeles, CA

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.

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.

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.

Perform quantitative analyses (optimization, simulation) to support insurance and pension clients on asset allocation, ALM, portfolio construction, hedging, and analytics. Develop and improve production engines, custom analytical tools, and automated solutions. Interface with client service, portfolio management, and risk teams and vendor systems to deliver, explain, and operationalize bespoke client solutions.