Marketing Analytics Manager - Advanced Analytics - Canada

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 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 is a remote position open to candidates based in Canada.

You should apply if:

• You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.
• You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment.
• You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.
• 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. 

In this role, you will:

• Conduct detail data analysis to inform marketing strategy informing how we target prospects and optimize our marketing channel mix.
• Support in developing and upleveling our marketing attribution model.
• Contribute to the development of our core marketing advanced analytics & data science roadmap as well as execute on bringing that roadmap to life.
• Communicate insights using data visualization and presentations to a range of stakeholders.
• 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.
• 3+ years of relevant data science or advanced analytics work experience and 3+ years of experience building advanced analytical models/analysis to inform marketing 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. 
• 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. 
• Strong problem-solving, critical thinking, and communication abilities.
• Ability to manage multiple projects at the same time in a fast-paced business environment

An ideal candidate also has:

• Experience working with cutting edge LLM tools, web scraping, third-party data providers, or AI-driven automation.
• Experience analyzing B2B marketing strategies, channels and lifecycle identifying areas of opportunity and optimization.
• Experience building out Marketing Mix Models.
• Familiarity with web analytics, tracking platforms, CRM tools and cloud-based data pipelines.
• Comfort working in an exploratory environment, testing and iterating on new data sources and methodologies.