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Product Analytics Manager

Jobber
TorontoPosted 9 April 2026

Job Description

Product Analytics Manager ARE YOU PASSIONATE ABOUT USING DATA TO DRIVE IMPACTFUL PRODUCT DECISIONS? Then Jobber might be the place for you! We’re looking for a Product Analytics Manager to be part of our Strategy & Analytics team. Jobber exists to help people in small businesses be successful. We work with small home service businesses, like your local plumbers, painters, and landscapers, to transform the way service is delivered through technology. With Jobber they can quote, schedule, invoice, and collect payments from their customers, while providing an easy and professional customer experience. Running a small business today isn’t like it used to be—the way we consume and deliver service is changing rapidly, technology is evolving, and customers expect more. That’s why we put the power and flexibility in their hands to run their businesses how, where, and when they want! Our culture of transparency, inclusivity, collaboration, and innovation has been recognized by Great Place to Work, Canada’s Most Admired Corporate Cultures, and more. Jobber has also been named on the Globe and Mail’s Canada’s Top Growing Companies list, and Deloitte Canada’s Technology Fast 50™, Enterprise Fast 15, and Technology Fast 500™ lists. With an Executive team that has over thirty years of industry experience of leading the way, we’ve come a long way from our first customer in 2011—but we’ve just scratched the surface of what we want to accomplish for our customers https://www.youtube.com/watch?v=EkfZmHrRLx4&list=PLoktA_D-2UEnxMLfCe93bANKXVXd2bdN8&index=24. THE TEAM: Product Analytics is part of the Analytics & Strategy department, our internal consulting team – they’re the decision support mechanism that connects data, business insights and an internal tech stack (systems) with the rest of the organization. In essence, Product Analytics is a central function that exists to drive business outcomes in all corners of Jobber’s ecosystem. The team is embedded in product development and works closely with Product, Design, Engineering, and GTM stakeholders to make sure every major decision has the analytical foundation it deserves. We're a collaborative, curious group. We debate methods, share what we're learning, and take the work seriously without taking ourselves too seriously. The people who thrive here are the ones who want to understand why something works, not just report that it did. THE ROLE: Reporting to the Director of Product Analytics, the Product Analytics Manager will champion analytical initiatives designed to advance Jobber’ subscription product capabilities (desktop & Mobile App), user experience and product marketing strategy. The purpose of the role is to ensure that Product Development, Experimentation and Product Marketing teams have all the information they need to make design, experience and GTM decisions that drive success of the Jobber product in the market, as well as measure the success of those initiatives. This is a high impact, hands-on individual contributor role. What you will do is own a product domain analytically, from the framing of the question through to the recommendation that lands in a product or GTM decision. THE PRODUCT ANALYTICS MANAGER WILL: - Design, run, and analyze experiments; including navigating the real constraints of a SaaS environment: low traffic, small samples, multiple concurrent product changes, and the temptation to call significance too early - Apply causal inference methods where clean A/B testing isn't possible; difference-in-differences, regression discontinuity, synthetic controls, CUPED/variance reduction techniques - Build customer segmentation and lifecycle models that feed directly into product and GTM decisions, not just sit in a dashboard - Partner with Product, Design, and GTM stakeholders to translate ambiguous business questions into analytical plans; and push back when the question itself needs reframing - Develop scenario and sensitivity models that let busines ... (truncated, view full listing at source)
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