Top Remote Senior Level Data & Analytics Jobs in Los Angeles, CA

The Lead Data Engineer will build data pipelines, mentor teams, manage data platforms, and enhance infrastructure for data processing in a cloud environment.

The Staff Machine Learning Engineer will lead projects, develop ML solutions, mentor the team, and ensure engineering best practices in conversational AI at Square.

As a Data Engineer Manager at PwC, you will design and implement data architecture strategies, develop and optimize ETL pipelines, and mentor your team while ensuring compliance with data governance policies. You'll lead projects while collaborating with business stakeholders to convert data requirements into effective technical solutions.

The Systems Analyst III at Wipfli supports and enhances the implementation of Workday ERP by analyzing business needs, providing technical support, documentation, training, and serving as a liaison between business users and the product team. This role involves leading projects, vendor management, and ensuring efficient technology changes that align with business requirements.

The Senior Manager of Growth Analytics will lead analytical capabilities for go-to-market strategies, manage a team of analysts, and conduct complex data analysis to provide actionable insights. Responsibilities include developing forecasting models, evaluating GTM effectiveness, collaborating with leadership on KPIs, and transforming data into insights for strategic decisions.

The Senior Data Engineer will lead data engineering solutions, manage the data lifecycle from ingestion to delivery, collaborate with various teams, resolve data integrity issues, and optimize data architecture and integration across systems, while aligning with business needs and promoting Thrives mission.

As a Sr. Data Analyst for Performance Marketing, you will analyze marketing outcomes, deliver insights to stakeholders, develop predictive models, and build data products to support marketing strategies. You will lead projects, prioritize requests, and communicate analytics to technical and non-technical audiences.