Top Senior Level Machine Learning Business Intelligence (BI) Jobs in San Francisco, CA

Lead data strategy and analytics for consumer products, mentor junior analysts, manage projects, and improve operational efficiencies using data-driven insights.

Lead user research for the AI assistant platform, shaping strategy and roadmap, collaborating with teams, and enhancing AI-native practices.

As the Lead BI Engineer, you will build the analytical infrastructure for data-driven decision-making, design scalable data models and dashboards, implement BI tools, and ensure data quality. You'll partner with various teams to define KPIs and insights, setting the direction for future BI efforts and team growth.

As a Staff Data Analyst, you'll drive data analysis, build business intelligence tools, and collaborate across teams to optimize Upstart's servicing strategy, while mentoring junior analysts.

As a Staff Product Analyst, you'll define analytics strategies, build measurement infrastructure, design experiments, and partner with product teams to boost self-serve conversion and product adoption.

The Director of Data Analytics will lead the Data Analytics team, setting the vision and roadmap for data strategy, overseeing analytics functions, and collaborating with stakeholders to leverage data for business improvement.

The Senior Business Systems Architect will lead the design and architecture of the Enterprise Performance Management platform using Pigment, focusing on financial planning, reporting, and compliance in a high-growth environment.

The role requires owning the global go-to-market and enablement strategy for new products, building enablement programs, and collaborating with Product and Engineering teams to ensure effective field readiness and competitive positioning.

The Marketing Analytics Senior Lead will manage the analytics strategy for Lifecycle & CRM marketing, influence investment decisions, lead experimentation, and provide insights to enhance marketing efficiency across a global platform.

The role involves providing strategic analytics support to sales leadership, analyzing data for insights, and ensuring data integrity and governance. Responsibilities include quota modeling, dashboard creation, and using AI tools to enhance workflows.