Top Hybrid Analytics Jobs in San Francisco, CA

As a Decision Analytics Consultant, you will leverage quantitative skills to address clients' business analytics needs through data analysis and solution development, while collaborating closely with clients and delivering actionable insights.

As Analytics Manager for Growth, you will develop user acquisition strategies, collaborate across teams, lead analytics initiatives, and mentor junior staff.

As a Senior Manager, you will lead teams to solve complex data and analytics challenges, focusing on cloud data strategies and solutions in financial services, specifically insurance.

As a Quantitative Trading Strategist, improve systematic trading strategies using quantitative skills, improve algorithmic execution, and conduct market research.

Lead the development and implementation of machine learning solutions, fostering a high-performance team while driving significant business impact across the organization.

As a Senior Data Analyst at Nimble, you will drive business initiatives through data insights, mentor junior analysts, and design efficient data structures. You will empower stakeholders to make data-driven decisions and maintain sustainable data usage practices.

As a Senior Data Analyst, provide insights to product and business teams, support initiatives in pricing, collaborate cross-functionally, and mentor members in analytics best practices.

The Data Engineer will build robust datasets to enhance business insights and support data-driven decisions, collaborating across teams to scale data systems effectively.

As a Senior Data Scientist at Moloco, you'll analyze data, validate campaign performance, and collaborate with stakeholders to develop insights that drive client growth. Responsibilities include creating visual data displays, optimizing campaigns, and ensuring the accuracy of engagement data. You will also play a key role in refining machine learning models and presenting findings to various audiences.

The Data Specialist will analyze baggage and operational statistics, develop performance models, and collaborate with engineering teams to enhance robotic system efficiency.