Top AdTech Data & Analytics Jobs in San Francisco, CA

The Senior Database Administrator will manage database operations, design ETL solutions, oversee data pipelines, and coach junior team members, ensuring a reliable data environment.

Analyze media performance data to guide buying decisions, build predictive models and dashboards, and evaluate a media optimization platform.

Lead a team of data analysts, ensuring accurate reporting, data integration, and analytics presentations while collaborating with agency partners.

The Data Scientist will work with the team to build and optimize models, interpret data, and support product development using massive data sets for advertising effectiveness.

Lead the design and architecture of production-grade data systems for reporting, focusing on data quality, performance, and engineering standards while mentoring team members.

The Staff Analytics Engineer will establish a data foundation aiding various teams at Kit by refining reporting models, ensuring consistent metric definitions, and enhancing stakeholder self-service capabilities.

Optimize publisher monetization by analyzing bidstream and auction data, building monitoring/alerting systems, running A/B tests, performing root-cause analyses, and producing actionable insights for cross-functional teams to maximize yield and revenue.

Build and maintain cloud data pipelines and ML feature/model workflows in Snowflake and AWS. Implement data ingestion, transformations, quality checks, monitoring, and documentation. Collaborate with data scientists, analysts, and product teams to support analytics, audience insights, rapid prototyping, and reliable production deployments.

The Senior Analytics Engineer will design and build scalable data pipelines using dbt and Snowflake, providing technical guidance, conducting audits, and mentoring junior engineers while leveraging AI tools to enhance productivity.

The Data Engineering Lead will oversee the design and optimization of the data platform, manage a team of engineers, ensure data quality, and collaborate with cross-functional teams for technical specifications and project execution.