Top Senior Data & Analytics Jobs in San Francisco Bay Area, CA

Manage and optimize Go-to-Market systems as a Salesforce Administrator by enhancing functionality, driving automation, and collaborating with multiple teams. Responsibilities include configuring Salesforce, managing user access, integrating systems, and ensuring best practices in data management.

Gusto seeks a Taxonomist/Ontologist to build AI-driven knowledge systems, develop taxonomies and ontologies, and enhance content delivery and personalization across teams and platforms.

The Manager, Business Intelligence Engineering will lead a team to develop data analytics capabilities, collaborate with internal partners, create dashboards, and generate insights for business improvement.

Drive data-driven decision-making by analyzing datasets, identifying trends, and collaborating with teams to improve products and user experience.

The role involves leading Risk Data Science, developing credit decisioning models, and ensuring compliance with model risk management in a regulated environment, focusing on next-gen machine learning techniques and alternative data integration.

Lead the transformation of Taskrabbit's data capabilities, define and execute the data strategy, and drive business outcomes through a high-performing data organization.

The Decision Analytics Consultant leads analytical projects, defining scope, conducting analysis, and synthesizing findings to drive client engagement and business solutions.

This role involves collaborating to improve game metrics, analyzing player behavior, designing ETL pipelines, and ensuring data integrity to enhance user experience.

The Vice President will lead equity research in the Software sector, producing financial forecasts, stock recommendations, and communicate findings to institutional clients. Responsibilities include analyzing data, maintaining models, and building relationships across departments.

The role involves creating data-informed insights, building data pipelines, developing machine learning models, and collaborating across teams for strategic decision-making.