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.

This is a remote position open to candidates residing in the US except the San Francisco Bay Metro Area, NYC Metro Area, and Washington, D.C. Metro Area. Relocation assistance will not be provided for this position.

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 semantic layers, data dictionaries, and markdown files designed specifically to train and enable AI agents for scalable, self-serve BI.
• Develop dashboards and analyses to surface business-critical KPIs and assess sales and marketing performance.
• Perform ad-hoc reporting and deep dives to uncover key insights across programs and initiatives to inform strategy and decision making.
• Partner with marketing stakeholders to translate complex business requirements into scalable data models and analytics-ready datasets.

• Champion, role model, and embed Samsara's cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.

Minimum requirements for the role:

• Bachelor's in Statistics, Computer Science, Business, Economics or other related analytical fields.
• 5+ years of relevant analytics, business intelligence, artificial intelligence or data engineering work experience.
• Expert in SQL, python, DBT and visualization platforms (Tableau preferred).
• Hands-on experience working with Databricks (or similar lakehouse architectures) to transform and model large datasets.
• Experience building data backends, semantic layers, and structured documentation optimized for AI ingestion and agentic workflows.
• Strong analytical and critical thinking skills with experience in data analysis.
• Comfortable leveraging AI tools to accelerate data transformation, analysis, and visualization workflows.
• Experience supporting Sales, Product or Marketing teams.

An ideal candidate also has:

• Experience building interactive applications using Streamlit or Claude workflows.
• Experience building web applications
• Experience working in web analytics
• Sales and marketing experience including familiarity with MarTech tools.
• Navigate large, multifaceted datasets to answer hard questions — drawing on the right analytical or statistical approach for each problem.
• Data Science, machine learning or predictive analytics experience.
• Actively builds AI fluency relevant to BI and analytics work, including prompt engineering for data tasks, exploring AI-assisted features in tools, and staying current on how AI is reshaping the analytics landscape.
• Comfort working in an exploratory environment, testing and iterating on new data sources and methodologies.