Top Data & Analytics Jobs in San Francisco, CA

The User Experience Analyst is responsible for researching user needs, collaborating with clients, creating wireframes, conducting usability tests, and enhancing customer experience through effective design and communication. The role involves working within a team to manage projects and deliver high-quality user experiences aligned with business goals.

As a Blockchain Data Engineer, you will design, implement, and maintain database systems for blockchain data management. Responsibilities include on-chain data extraction, ETL development, integrating blockchain and traditional data, and ensuring data security and compliance. You will work with cloud solutions and use various tools for database performance optimization.

As a Senior Product Analyst, you'll develop and deliver analysis on product features, execute and analyze experiments, create interactive dashboards, and identify data-driven solutions in collaboration with product and engineering teams. You'll lead initiatives and drive results in a fast-paced environment, focusing on customer and business performance.

The Principal Data Architect will lead the design and implementation of complex cloud-based data solutions, focusing on strategic roadmaps and engagements, and overseeing the development of data standards. The role requires extensive experience in cloud data and analytics technologies, including relational database design and big data processing.

The Senior Data Analyst will lead data-driven initiatives focused on customer growth by conducting experiments and analyzing site performance. Responsibilities include exploratory projects, prioritization of tests, and establishing analytical best practices across marketing channels. The role emphasizes collaboration and communication to promote analytical excellence within the organization.

The Sr. EDI Analyst will analyze and redesign business systems with a focus on EDI processes. Responsibilities include documenting requirements, creating mapping documents, supporting critical systems, and collaborating with software engineers. The role demands excellent communication skills and the ability to handle multiple tasks efficiently in a remote setting.

As a Mid-Level Data Engineer, you will develop, test, and maintain scalable Python applications while collaborating with cross-functional teams to deliver high-quality software solutions, participating in code reviews and troubleshooting issues. You are expected to stay up-to-date with industry trends and contribute to designing new features and systems.