Top Data & Analytics Jobs in San Francisco, CA

The Senior Data Engineer will develop and maintain end-to-end data pipelines, manage data integration, and work with varied data sources to enable analytics and drive customer success.

Client-facing Solutions Architect designing and delivering scalable cloud, data, and AI-enabled solutions. Lead end-to-end projects, advise clients on technology strategy, ensure scalable/resilient architectures, mentor teams, drive delivery using agile methods, and collaborate globally to translate business needs into practical data solutions.

The experienced quantitative strategist will support portfolio managers in alpha research and the implementation of quantitative trading strategies, utilizing systematic strategies and programming skills.

Design, build, and operate privacy-first People data pipelines and models. Ingest and standardize HRIS/People systems, ensure data quality and observability, implement access controls, and deliver trusted datasets, dashboards, and self-serve products for People leaders and executive reporting.

The Senior Business Intelligence Analyst will develop ETL processes, collaborate between finance and engineering teams, and implement data-driven strategies to enhance financial insights and automations.

The Manager, Data Engineering will lead the data engineering team, oversee data architecture projects, ensure data reliability, and foster a culture of learning.

Lead and grow the Revenue Analytics team to deliver sales and customer lifecycle insights. Build forecasting, pipeline, capacity, predictive models, and customer lifecycle analytics. Drive analytics roadmap, data governance, executive reporting, and AI/BI solutions to improve sales productivity, retention, expansion, and revenue planning across GTM functions.

Lead and develop a Revenue Analytics team to deliver sales and customer lifecycle insights. Build forecasting, pipeline, capacity, and predictive models; support AI-driven self-serve analytics and BI solutions; create executive reporting, attribution, and metrics for consumption-based business models; partner cross-functionally to improve sales productivity, retention, adoption, and revenue performance; and establish data governance and reporting frameworks.

Design, build, and optimize BigQuery-based data models and pipelines on Google Cloud. Implement SQL procedures, manage storage/partitioning, ensure data quality, collaborate with data scientists and engineers, document designs, and improve ETL and reporting workflows.

The Financial Analyst will work with proprietary technology and data to support trading activities in various commodities and financial instruments.