Senior Marketing Analytics Manager - BI & Data Architecture

About the role:

Are you passionate about building robust data architectures that power next-generation, AI-driven business intelligence? Do you thrive in the intersection of data engineering and analytics, wearing both hats to design scalable backends and deliver actionable insights?

We are looking for a Senior Marketing Analytics Manager - Business Intelligence & Data Architecture to join our Marketing Analytics team. In this role, you will work closely with our Marketing, Sales, and Data Engineering teams to build the foundational "Gold Layers" and semantic models that enable self-serve reporting and agentic AI workflows.

This is a great opportunity for a highly technical analyst who is hands-on with Python, Databricks, and SQL, and is excited about creating the infrastructure that enables AI for BI. If you’re energized by the challenge of bridging the gap between raw data pipelines and advanced analytical outputs, we’d love to hear from you.

You should apply if:

• You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.
• You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment.
• You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.
• You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-calibre team that will encourage you to do your best.

In this role, you will:

• Act as the bridge between Data Engineering and Marketing Analytics, designing, building, and maintaining robust ETL pipelines and "Gold Layer" tables in Databricks.
• Develop and document data models for marketing analytics reporting and AI-driven insights.