Sr.Marketing Analytics Manager - Advanced Analytics

Samsara
Remote - CanadaPosted 11 March 2026

Job Description

Who we are 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. About the role: Are you a Data Scientist/Data Analyst who thrives on tackling complex problems and using data to drive business impact? Do you enjoy doing detailed analysis to inform marketing strategy? Samsara is looking for a Senior Marketing Analytics Manager to join our Marketing Analytics and Data Science team. In this role, you’ll play a critical part in building our data science roadmap, developing predictive models, and refining AI-driven scripts to enhance account identification and enrichment. You’ll collaborate closely with Marketing, Sales, and Data Engineering teams to unlock insights, automate processes, and scale marketing intelligence through advanced analytics. We’re looking for someone who can balance strategic vision with execution, someone who’s comfortable coding, testing, and iterating while also influencing stakeholders and driving measurable impact. Our diverse team is growing, offering opportunities for continuous learning, career progression and the chance to shape the future of marketing data science at a high-growth company. This role is open to candidates residing in Canada. In this role, you will: Conduct detailed data analysis to inform marketing strategy informing how we target prospects and optimize our marketing channel mix. Design and evaluate marketing experiments to measure incremental impact, validate channel performance, and inform budget allocation decisions. Support the development and evolution of our marketing attribution model and other measurement frameworks to better capture the influence of marketing across the customer journey. Partner with cross-functional teams to identify opportunities to leverage AI and advanced analytics to improve marketing insights, automation, 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 Minimum requirements for the role: M.S., or Bachelor's in Statistics, Computer Science, Math, Machine Learning, Economics or other related quantitative fields. 5+ years of relevant data science or advanced analytics work experience and 5+ years of experience building advanced analytical models/analysis to inform strategy. Advanced knowledge of marketing measurement (attribution, marketing mix modeling, lift studies) and has direct experience working in marketing and doing detailed analysis supporting marketing strategy. Experience conducting and designing large scale experimentation processes from end-to-end, executing on incremental studies, and translating results into actionable business decisions. Expertise in Tableau and/or similar platforms; expertise in coding languages and tools like Python, R and SQL - hands on coding experience is needed for this role. Interest in applying emerging AI and machine learning techniques to enhance marketing ana ... (truncated, view full listing at source)
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