Top Data & Analytics Jobs in San Francisco, CA

As an SDR Operations Analyst at Agiloft, you will support the SDR Team by providing data insights, tools, and processes aimed at meeting pipeline generation targets. You'll partner with leadership, deliver analytical insights on performance, and implement operational solutions while assisting the team with technical system issues.

As an Intermediate Data Engineer at VideoAmp, you'll deliver new product features and enhance existing ones through ETL processes using Python, SQL, and Go. You will collaborate with a diverse team, participate in the full product lifecycle, and troubleshoot complex data-oriented problems to ensure high-quality, reliable solutions.

As a Senior Analytics Engineer, you will collaborate with various teams to create data models and flows, automate data acquisition, and enhance decision-making tools. You will also build data quality tests and support business users in query and dashboard monitoring.

The Cyber Threat Hunt Analyst is responsible for creating threat models, conducting threat hunt missions, analyzing logs, and developing security content. They will identify patterns in data, assess risk, and collaborate with teams to enhance the enterprise’s security posture.

As an Azure Data Engineer, you'll implement data solutions using Azure's services, focusing on data warehousing, integration, and modeling while adhering to governance and security protocols. You'll be part of both large and small projects, working with cross-functional teams to deliver technical solutions and maintain documentation, while keeping abreast of current technologies.

As a Senior Data Analyst/Steward, you will lead data governance projects, manage centralized data documentation, and perform data analysis to support business initiatives. Collaboration across teams is key as you oversee data quality and communicate governance standards.

The Staff Data Scientist will develop statistical and machine learning models to enhance the operations platform at Honor. Responsibilities include collaborating with teams, designing predictive models, integrating ML into applications, and mentoring team members throughout the project lifecycle.