Senior Marketing Analytics Manager – BI, Data Architecture

This is a fully remote position, open to applicants in Canada.

📋 Description

• Design, construct, and sustain robust ETL pipelines and "Gold Layer" tables using Databricks.

• Create and document semantic layers, data dictionaries, and markdown files intended for AI agents and self-service business intelligence.

• Develop dashboards and analyses to highlight critical business KPIs and evaluate sales and marketing performance.

• Execute ad-hoc reporting and in-depth analyses to reveal insights that guide strategy and decision-making.

• Collaborate with marketing stakeholders to convert business needs into scalable data models and analytics-ready datasets.

• Serve as a liaison between Data Engineering and Marketing Analytics.

• Advocate for and integrate Samsara’s cultural principles as the company expands globally and establishes new offices.

⛳️ Requirements

• Bachelor’s degree in Statistics, Computer Science, Business, Economics, or a related analytical discipline.

• Over 5 years of pertinent experience in analytics, business intelligence, artificial intelligence, or data engineering.

• Proficient in SQL, Python, DBT, and visualization platforms; experience with Tableau is preferred.

• Practical experience with Databricks or similar lakehouse architectures for transforming and modeling extensive datasets.

• Background in constructing data backends, semantic layers, and structured documentation optimized for AI ingestion and agentic workflows.

• Strong analytical abilities and critical thinking skills, alongside practical experience in data analysis.

• Proficient in utilizing AI tools to enhance data transformation, analysis, and visualization workflows.

• Experience supporting Sales, Product, or Marketing teams.

• Familiarity with Streamlit or Claude workflows is preferred.

• Knowledge in building web applications is preferred.

• Experience in web analytics is preferred.

• Background in sales and marketing, including knowledge of MarTech tools, is preferred.

• Experience in data science, machine learning, or predictive analytics is preferred.

• AI fluency related to business intelligence and analytics, including prompt engineering for data tasks and AI-assisted tools, is preferred.

• Comfort with testing and iterating on new data sources and methodologies is preferred.

🏝️ Benefits

• Initial RSU grant with no vesting cliff.

• Continuous equity refresh opportunities linked to performance.

• Performance-based bonus/variable pay.

• Flexible, employee-driven remote work model.

• Professional development stipend.

• Comprehensive health plans.

• Parental leave plans.

• Above-market total compensation.

• Offices available for employees who prefer in-person work.