Top Data & Analytics Jobs in San Francisco, CA
The Staff Data Scientist will drive engagement initiatives by utilizing data for product strategy, impact sizing and measurement, and improving product features through intelligent systems. This role demands collaboration with cross-functional teams to define problem areas and implement advanced statistical and machine learning methods.
The Sr. Business Systems Analyst will collaborate with Procure-to-Pay stakeholders to document business requirements, design finance application roadmaps, and implement process improvements. Responsibilities include delivering finance systems strategy, managing applications, optimizing operational KPIs, and providing training on finance tools.
The Data Protection and eDiscovery Infrastructure Manager will lead eDiscovery efforts, manage Windows servers, and ensure compliance with data protection regulations, while developing policies and strategies to reduce data exposure risks. Role involves oversight of eDiscovery processes, data handling, and training on best practices.
The Business Systems Analyst II will lead projects in the Business Systems team, collaborating with stakeholders to provide technical solutions, manage program deliverables, improve processes, and support product launches using tools like Salesforce, SQL, and Jira while ensuring alignment with the company's strategic goals.
The Analytics Manager will develop and implement Continuous Auditing and Data Analytics programs, conducting reviews and testing, managing risks, and training team members. This role will enhance audit procedures and ensure compliance with business objectives, acting as a data analytics expert to support internal controls.
The Analyst II, Credit Risk role involves using data analytics to optimize credit strategies, manage risk, and support new product launches. The position collaborates with cross-functional teams, leveraging experimentation to derive insights and improve credit underwriting processes.
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The Senior People Technology Analyst is responsible for the implementation, maintenance, and optimization of Workday and other People Technology systems, managing projects to enhance processes, analyzing complex data sets, providing end-user support, developing training materials, and identifying process improvement opportunities.
As a Research Scientist at Deepgram, you will design and execute research programs to develop speech and language AI models, optimize their architectures for efficiency, and collaborate with teams to deploy these models at scale, contributing to advancements in voice technology.
As a Senior Data Analyst at Toast, you will work closely with product teams to understand customer behavior, inform R&D efforts, and contribute to the strategy for AI-led support and new onboarding experiences. You will build tools, dashboards, and datasets to automate reporting and generate insights, as well as identify opportunities where analytics can add value. This role requires 3+ years of experience in BI, Data Analytics, or Data Engineering, strong SQL and data modeling skills, and familiarity with various tech tools and platforms.
Lead and contribute to advancing a modern data lakehouse, translate requirements into effective data models, develop in data technologies, manage project life cycle activities, mentor team members, and provide on-call support as needed.
The Sr. Competitive Intelligence Analyst at Exabeam will conduct competitive analysis in the SIEM sector, create and manage intelligence tools, collaborate with various departments to gather insights, and provide regular updates to senior leadership. The role demands staying updated on industry trends and enhancing CI processes.
The Senior Data Scientist will focus on providing insights and analysis for Babylist's fulfillment and operations. Responsibilities include visualizing and measuring supply chain operations, collaborating with product and business leaders, and developing data products like reports and predictive models to inform decision-making.
As a Revenue Operations Analyst, you will optimize Go-To-Market processes, enhance data accuracy, and provide insights for strategic decisions across teams. Responsibilities include collaborating with Sales and Marketing, maintaining dashboards for KPIs, ensuring data integrity, and supporting GTM tech stack implementation.
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