Top Data & Analytics Jobs in San Francisco, CA

Implement, QA, and document tag management across GTM, GA4, pixels, server-side pipelines and Shopify. Translate Figma designs into data layers, collaborate with engineering to ensure event parity, monitor pixel and server-side integrity, support A/B testing event piping, run monthly data audits, enforce consent via OneTrust, and maintain the centralized Solution Design Document.

Implement, QA, and document analytics tags across GTM, GA4, performance pixels, experimentation and server-side pipelines. Translate Figma designs into data-layer specs, collaborate with engineers to ensure tracking parity across web, app and Shopify, maintain pixel integrity for ad optimization, support server-side syncing, run monthly data audits, enforce consent with OneTrust, and contribute to QA and solution design documentation.

The Data Mining Engineer will work on proprietary trading technology, focused on enhancing data mining processes for trading strategies and market analysis.

This role involves developing and implementing data mining techniques to extract business insights, optimize trading strategies, and support trading decisions.

The IT Compliance Officer will ensure adherence to regulatory requirements and internal standards, enhance data governance, and foster compliance across IT operations.

The Data Mining Engineer role involves leveraging statistical analysis and data mining techniques to analyze complex datasets and support trading decisions.

The Data Mining Engineer will develop and implement data mining techniques, analyze market data, and support trading strategies at Belvedere Trading.

As an Actuarial Analyst, you'll manage accounting functions, ensure compliance with GAAP, prepare financial statements and budgets, and improve processes.

The Data Mining Engineer will develop algorithms to analyze data providing insights to optimize trading strategies. Collaboration with traders and tech teams is essential to enhance systems.

As a Data Engineer Associate, you will develop and implement data solutions to meet business objectives, ensuring data accuracy, security, scalability, and maintainability.