Top Senior Data & Analytics Jobs in Los Angeles, CA

Lead design and delivery of scalable data infrastructure and pipelines for Tax practice. Drive client engagements, business development, and mentor teams using cloud and modern data engineering tools to convert raw data into actionable insights while ensuring quality, security, and compliance.

Lead pricing analytics for GoodRx Companion subscription: build forecasting and elasticity models, optimize pricing to drive signups and unit economics, create dashboards and reports, analyze fill patterns, and deliver actionable insights to cross-functional stakeholders to improve program performance.

As a Data Engineer, you will design, implement, and maintain data systems for Notifications at Whatnot, ensuring data quality and performance while collaborating with cross-functional teams on data architecture and workflows.

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.

The Senior Data Engineer will design and optimize large-scale batch and streaming data pipelines using Scala and Spark, oversee the data engineering lifecycle, and engage in technical discussions to improve system efficiency.

Partner with business teams to define analytics roadmaps, build dashboards and visualizations in Tableau, write complex SQL and ad hoc analyses, collaborate with Data Engineering to evolve the data warehouse, maintain a data catalog, set data quality and governance practices, define SLAs, improve analytics performance, and mentor junior analysts.

Lead encounter data operations: monitor submissions, correct rejected encounters per CMS/DHCS, write SQL queries and ad hoc scripts, generate reconciliation reports, analyze trends and root causes, validate EDI 837 resubmissions, manage relationships with health plans and clearinghouses, update documentation and training, and lead special projects to improve finance-related encounter workflows.

Design, build, and maintain Gusto's data infrastructure and tooling. Handle large-scale batch and real-time data (clickstream, DB, third-party). Own solutions end-to-end: gather requirements, implement pipelines, monitor production, and troubleshoot with stakeholders and cross-functional teams.

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.

Lead design and delivery of enterprise BI for Finance: architect Power BI solutions, build data models and dashboards, develop complex SQL transformations, ensure performance and governance, align stakeholders, and mentor teammates.