Top AdTech Data & Analytics Jobs in San Francisco, CA

The Sr. BI & Measurement Strategist develops and maintains advanced measurement strategies including Media Mix Models, translating complex insights for executive stakeholders, and driving business performance through data storytelling and strategic recommendations.

The Data Visualization & Automation Producer oversees data pipeline visual integrity, managing automated workflows, ensuring data accuracy, and training reporters on visualization tools.

As a Senior Data Analyst, you will analyze data, create visualizations, and mentor junior analysts, collaborating with clients to meet their analytics needs.

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.

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.

As an Analytics Lead, you will manage the measurement strategy, oversee tracking architecture, design testing frameworks, and create insights for clients. You'll lead a junior specialist and ensure data integrity across client accounts. Responsibilities include building dashboards, interpreting metrics, and creating measurement plans to drive business decisions.

As Measurement Lead, you will manage high-stakes customer discussions about campaign results, write SQL for data analysis, build dashboards, and collaborate with various teams to enhance Kard's measurement approach.

The Director of Data Strategy and AI leads data and AI initiatives to enhance analytics programs, drives client strategy, and ensures effective AI product deployment. Responsibilities include managing cross-functional teams, supporting new business development, and overseeing technical infrastructure for analytics and internal tools while facilitating communication between technical and business stakeholders.

The Senior Data Analyst, SEO will analyze SEO performance data, identify trends, and provide insights for product strategy and marketing. Responsibilities include reporting, benchmarking, KPI standardization, and collaborating with various teams on SEO measurement and improvement.

The Data Engineering Lead is responsible for architecting scalable data systems, integrating ML models, and leading a technical team while optimizing performance and costs.