Samsara is the pioneer of the Connected Operations™ Cloud, enabling organizations to harness IoT data for actionable insights. They are seeking a Senior Marketing Analytics Manager - Business Intelligence & Data Architecture to design scalable data architectures and deliver actionable insights through robust ETL pipelines and semantic models.
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:
- 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