Top Data & Analytics Jobs in Los Angeles, CA

Client-facing analytics lead for programmatic media: design tests and measurement, monitor model performance, deliver audience insights and optimization recommendations, collaborate with Sales, Customer Success, Product, and Engineering to improve campaign effectiveness.

Design and implement scalable go-to-market intelligence workflows and automation. Define business requirements for reports and dashboards, partner with Product and Analytics, improve Data Cloud tool adoption, document processes, support integrations, and deliver automation-aligned pre-sales and client-facing materials.

Design, build, and maintain data pipelines and tooling; collaborate with cross-functional stakeholders to deliver governed, high-quality datasets; own data quality and drive adoption of produced datasets.

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.

Manage a team delivering complex reporting, forecasts, dashboards, and ad hoc analysis. Integrate data sources, document business rules, ensure data quality, and provide insights to senior leadership to inform operational improvements and strategy.

Develop parametric cost estimates and Cost Estimating Relationships (CERs); design cost models, dashboards, and reports; perform statistical analysis on large datasets; develop algorithms and mathematical software; collect and analyze technical data; brief recommendations to leadership and engage cross-functional stakeholders.

Manage projects and teams to leverage data and technology in M&A, driving strategic insights and improving deal decisions through advanced analytics and AI.

As a Staff Data Engineer, you will lead data engineering initiatives, architect and build scalable data pipelines, and mentor teams, enhancing Crunchyroll's data infrastructure within AWS and GCP environments.

Lead analytics for Sales Performance Management in Business Banking by extracting, analyzing, and visualizing complex data. Deliver actionable insights, recommendations, and reports; partner with stakeholders and technical teams to build validated dashboards and drive business optimization.

Design and implement enterprise data architecture and models using AWS and Snowflake. Build and optimize data pipelines, enforce governance and metadata standards, support analytics and AI/ML initiatives, and collaborate with stakeholders and engineers to deliver scalable data solutions.

The Business Analyst will support technology solutions across marketing and content operations, focusing on Digital Asset Management and marketing capabilities.

The Senior Data Analyst will lead analytics projects, translate complex data into insights, and support product strategies across various teams, ensuring data-driven decision making.

The role involves analyzing large datasets to generate insights, measuring business performance, and optimizing processes by collaborating with product owners and internal partners.