Then Jobber might be the place for you! We’re looking for a Manager, Customer Analytics (Post-Sales) to join our Analytics & Insights 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 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.
The team:
Analytics is part of the Strategy & Analytics department, our internal consulting team - they’re the decision support mechanism that connects data & business insights with the rest of the organization. In essence, Analytics is a central function that exists to drive business outcomes in all corners of Jobber’s ecosystem.
The role:
The Manager, Customer Analytics (Post-Sales) will lead a team of analysts responsible for driving insight and analytical impact across Jobber’s post-sales customer journey, including onboarding, support, account management, lifecycle engagement, retention, expansion, and customer value optimization.
Reporting to the Senior Manager, Customer Analytics, you’ll combine people leadership, strategic partnership, and strong analytical judgment to help Jobber deepen its understanding of what drives customer success and scale data-informed decision-making across the business.
This is a high-leverage role for someone who can lead analysts, build trusted stakeholder relationships, and help evolve the team from reactive reporting toward scalable, AI-enabled decision support. You’ll help establish clear priorities, manage stakeholder demand, develop reusable analytics assets, and ensure the team’s work translates into measurable business impact.
You’ll lead initiatives that assess how customers onboard, engage, grow, renew, expand, and retain over time. You’ll help identify opportunities to improve the customer experience, reduce churn and downgrade risk, increase expansion, and measure the impact of programs, policies, and interventions designed to help customers get more value from Jobber.
The Manager, Customer Analytics (Post-Sales) will:
Lead and develop a high-performing team
Lead, coach, and empower a team of analysts who deliver strategic insights and drive measurable business impact.
Build a collaborative, high-accountability team environment that values curiosity, analytical rigour, business impact, and continuous improvement.
Develop talent through mentorship, feedback, and coaching, helping analysts grow both their technical depth and strategic judgment.
Help the team prioritize work based on business impact, stakeholder needs, company priorities, and available capacity.
Model analytical leadership by helping the team translate ambiguous business questions into clear analytical approaches, actionable recommendations, and better decisions.
Drive strategic insights across the customer lifecycle
Partner with leaders across Customer Onboarding, Support, Account Management, Lifecycle Marketing, Product Marketing, and other cross-functional teams to define success metrics, evaluate initiatives, and uncover opportunities to improve customer outcomes.
Lead high-impact analyses on onboarding performance, customer engagement, support effectiveness, customer health, retention patterns, churn and downgrade risk, expansion opportunities, and long-term customer value.
Develop frameworks, models, dashboards, and decision-support tools that connect insights across the customer lifecycle and enable proactive management of customer health and growth.
Translate business outcomes into analytical roadmaps that balance immediate decision needs with scalable, forward-looking solutions.
Help leaders understand not just what happened, but why it happened, what it means, and what Jobber should do next.
Build clarity, prioritization, and scalable ways of working
Help establish a clear engagement model for Customer Analytics stakeholders, including how work is prioritized, scoped, routed, and delivered.
Balance functional stakeholder support, cross-functional initiatives, recurring reporting, migration work, enablement, and strategic analysis in a way that makes trade-offs visible and intentional.
Protect the team’s focus by distinguishing between must-do work, essential recurring needs, self-serve opportunities, and lower-priority ad hoc requests.
Identify recurring or repeatable analytics work that should become automated, standardized, documented, or moved into self-serve.
Partner with Analytics Engineering, BI, Data Science, and other Analytics & Insights teams to improve the data foundation, metric definitions, reporting infrastructure, and analytical workflows that support Customer Analytics.
Shape decision-making through analytics leadership
Act as a strategic thought partner and internal consultant to customer-facing and cross-functional leaders, providing analytical perspectives that inform business strategy, operational priorities, and resource planning.
Anticipate business needs and proactively identify analytical opportunities that unlock growth, efficiency, retention, or customer experience improvements.
Frame complex business challenges into clear hypotheses, lead structured problem-solving, and deliver recommendations that influence decisions at multiple levels of the organization.
Champion experimentation, scenario modelling, impact evaluation, customer health measurement, and predictive analytics as tools for improving the quality of business decisions.
Bring strong judgment to analytical work, ensuring the team is focused on the decisions being made, not just the analyses being produced.
Champion data quality, AI-enabled analytics, storytelling, and enablement
Promote strong analytics practices across the team, including clear metric design, QA, documentation, peer review, reproducible workflows, and thoughtful ownership of recurring assets.
Build compelling, executive-ready narratives that connect insight to action and create alignment around key opportunities.
Enable self-serve analytics and scalable reporting, empowering business partners to make confident, data-informed decisions.
Help the team adopt AI and automation responsibly, using emerging tools to accelerate analysis, reduce manual reporting, improve documentation, and shift analyst time toward higher-judgment work.
Encourage curiosity and innovation by continuously exploring new data sources, analytical techniques, AI-assisted workflows, and storytelling approaches that improve understanding of the customer experience.
To be successful, you should have:
Proven experience as a people leader in analytic
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