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 Business 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.

Business Analytics is part of the Business Operations 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, Business Analytics is a central function that exists to drive business outcomes in all corners of Jobber’s ecosystem.

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.

• Be a thought partner to the stakeholder teams by proactively proposing analytical solutions and data insights that drive improvement in product functionality, user experience, pricing and other product development and / or GTM decisions.
• Collaborate with stakeholders to understand their business objectives, translate business objectives into proposed solutions (e.g. analysis, KPIs, BI, Data Science) and socialize the proposals to ensure stakeholders’ alignment & buy‑in.
• Perform hands‑on analysis to drive insights, and inform business recommendations or marketing / PR content.
• Provide BI team with requirements for product analytics data, reports and dashboards.
• Collaborate with the Data Science team on ML / AI developments supporting Product Analytics, GTM Marketing strategy and development of automated A/B testing capabilities.
• Advocate and propagate philosophy of impact‑based opportunity assessment and quantify the impact assessment of all new ideas for product and experience improvement.
• Support experimentation initiatives by providing requirements for experimental design and successful measurement and Jobber’s general culture of experimentation by providing consultation on best practices (e.g. applied statistics, tooling, quantity of experiments, importance statistical significance).

• Deep, hands‑on experience creating and delivering custom analytics for SaaS product development.
• Experience leading and growing a team of analysts.
• Expert‑level SQL programming skills.
• Solid understanding of complex relational data structures.
• Data Science experience and Python are an asset.
• Experience in designing & productionalizing user‑friendly product usage data is an asset.
• Strong business acumen, strategic thinking, ability to see the big picture and…