Samsara

Samsara

Senior Marketing Analytics Manager - BI & Data Architecture

Remote - Toronto · Senior · Contract

Sponsorship not specified$139k-$180kDetected 8 hours ago
PythonSQLDatabricksMachine LearningdbtData EngineeringData ScienceData VisualizationAgentic AIStatisticsMarketing AnalyticsCustomer SuccessCommunicationCollaborationCritical Thinking

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odds of building a lasting career here

57Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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About the role

  • We are looking for a Senior Marketing Analytics Manager - Business Intelligence & Data Architecture to join our Marketing Analytics team.
  • 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.

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.
  • 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.
  • Partner with marketing stakeholders to translate complex business requirements into scalable data models and analytics-ready datasets.
  • Do you thrive in the intersection of data engineering and analytics, wearing both hats to design scalable backends and deliver actionable insights?
  • 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.
  • If you're ready to build for the long term and own the outcome, your journey starts here.
  • Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements.

Requirements

  • Bachelor's in Statistics, Computer Science, Business, Economics or other related analytical fields.

Nice to have

  • Expert in SQL, python, DBT and visualization platforms (Tableau preferred).

Skills

  • Samsara (NYSE:

Compensation

  • The range of annual base salary for full-time employees for this position is below.

Benefits

  • Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company.
  • Flexible Working
  • Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more.

Company info

  • Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing - and we are excited to help digitally transform their operations at scale.
  • Working at Samsara means you'll help define the future of physical operations and be on a team that's shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you'll have the autonomy and support to make an impact as we build for the long term.
  • Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations.
  • At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy.
  • Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing - and we are excited to help digitally transform their operations at scale.
  • Working at Samsara means you'll help define the future of physical operations and be on a team that's shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring.
  • As part of a recently public company, you'll have the autonomy and support to make an impact as we build for the long term.
  • 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.

Equal opportunity

  • Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities.

This listing is sourced directly from Samsara's careers page and normalized into a canonical job model.