Senior Marketing Analytics Manager - BI & Data Architecture

Samsara is the pioneer of the Connected Operations Cloud, helping organizations that depend on physical operations use IoT data to improve safety, efficiency, and sustainability. The Senior Marketing Analytics Manager will bridge data engineering and marketing analytics by building scalable Databricks data architectures, semantic layers, and AI-ready documentation. The role also develops dashboards, performs analytical deep dives, and partners with marketing stakeholders to support business decisions.

Responsibilities:

• 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

Requirements:

• 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
• 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
• 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
• Tableau preferred