Top AdTech Data & Analytics Jobs in San Francisco, CA

As a Data Engineer, you will build features and services, maintain cloud databases, collaborate with teams, and ensure data integrity.

Lead analytics implementations using Google Analytics and Tag Manager for clients, providing mentorship and managing projects with a focus on enhancing clients' digital strategies.

Analyze auction data to identify performance drivers and risks, collaborate with commercial teams, and provide actionable insights to optimize DSP outcomes.

Design and implement scalable go-to-market intelligence workflows and automation. Define business requirements for reports and dashboards, partner with Product and Analytics, improve Data Cloud tool adoption, document processes, support integrations, and deliver automation-aligned pre-sales and client-facing materials.

As a Data Engineer at Edmunds, you will architect and maintain data platforms for analytics and AI/ML, ensuring scalable, reliable data processing and supporting cross-functional collaboration.

The Data Analyst will build performance reporting tools, automate data processes, conduct ad-hoc analyses, and provide insights for company initiatives.

The Data Engineer will build and maintain the data platform, optimize data transformations, implement data governance, and collaborate on data assets to ensure data-driven decision making.

The Anaplan Systems Analyst manages, enhances, and develops Anaplan solutions in collaboration with finance teams. Responsibilities include system maintenance, solution development, process documentation, and user support. A strong analytical mindset and problem-solving skills are essential.

Lead multiple data science projects focusing on predictive modeling for linear and streaming advertising. Collaborate with teams to enhance performance and deliver integrated business solutions.

The Growth Analyst will support client success by managing campaign performance and analyzing data to optimize operations. Responsibilities include assisting with campaign setup, communicating with teams, and identifying growth opportunities through data analysis.