Senior Marketing Analytics Manager – BI & Data Architecture

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Logo of Samsara

Samsara

1001 - 5000 employees

Founded 2015

🏢 Enterprise

🚗 Transport

🔐 Security

💰 Seed Round on 2014-08

Enterprise • Transport • Security

Samsara is a technology company that provides a comprehensive operations platform aimed at improving the efficiency, safety, and sustainability of organizations. Their solutions include video-based safety, vehicle telematics, equipment monitoring, workforce applications, and site visibility. Samsara serves a wide range of industries, including transportation, logistics, construction, and government. The platform connects people, systems, and data, enabling organizations to make faster, data-informed decisions. Samsara's Connected Operations technology helps complex organizations operate more effectively by offering real-time GPS, proactive alerts, compliance training, and asset tracking.

📋 Description

• 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 as we scale globally.

🎯 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.

🏖️ Benefits

• Flexible working model • Professional development stipend • Comprehensive health plans • Parental leave plans

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