Jobber is hiring a Manager, Customer Analytics (Post-Sales). You’ll lead a team of analysts responsible for driving insights and analytical impact across Jobber’s post-sale customer journey, from onboarding and support to account management, enablement, expansion, and retention. Your role combines hands-on analytics expertise, strategic partnership, and people leadership to help Jobber deepen its understanding of customer success drivers and scale data-informed decision-making across the business.
What You'll Do
- Lead, coach, and empower a team of analysts who deliver strategic insights and drive measurable business impact.
- Prioritize, scope, and allocate analytics work based on business impact and stakeholder needs, ensuring alignment with company priorities.
- Create a collaborative, high-accountability environment that values curiosity, excellence, and continuous improvement.
- Develop talent through mentorship and feedback, fostering both technical depth and strategic acumen.
- Partner with post-sales business leaders across Customer Onboarding, Support, Account Management, Enablement, and Lifecycle Marketing to define success metrics, evaluate initiatives, and uncover opportunities that improve retention, satisfaction, and expansion.
- Lead high-impact analyses on onboarding performance, customer engagement, support efficiency, retention patterns, and account growth to reveal actionable cross-functional opportunities.
- Develop frameworks, models, and dashboards that connect insights across the customer lifecycle, enabling proactive management of customer health and long-term value.
- Act as a strategic thought partner and internal consultant to post-sales GTM and cross-functional leaders, providing analytical perspectives that inform business strategy and operational priorities.
- Frame complex business challenges into clear analytical hypotheses, lead structured problem-solving, and deliver recommendations that influence decisions at multiple levels.
- Leverage advanced analytics to elevate Jobber’s capabilities, from robust data models to predictive customer health and retention modelling.
- Champion data-informed experimentation, scenario modelling, and performance evaluation as core practices.
- Promote a strong analytical foundation through best practices in data quality, metric design, and consistent measurement.
- Build compelling, executive-ready narratives that connect insight to action and drive alignment around key opportunities.
- Enable self-serve analytics and scalable reporting, empowering business partners to make confident, data-informed decisions.
- Encourage curiosity and innovation by continuously exploring new data sources, analytical techniques, and storytelling approaches.
What We're Looking For
- Proven experience as a people leader in analytics, with a strong track record of developing and empowering high-performing teams.
- Deep expertise in Customer Success and Post-Sales Analytics, with hands-on experience analyzing and improving onboarding efficiency, customer engagement, support performance, retention, and account growth.
- Expert-level SQL skills, with the ability to work efficiently across complex relational data structures.
- Proficiency with BI and data visualization tools such as Tableau, with a focus on creating clear, compelling, and actionable visual narratives.
- Demonstrated expertise in foundational and advanced analytics techniques, including performance measurement, exploratory analysis, scenario analysis, impact evaluation, simulation modelling, and predictive analytics.
- Strong business acumen and a strategic mindset, with the ability to shape initiatives and develop high-impact analytical proposals.
- A passion for storytelling through data, with exceptional communication and stakeholder management skills.
- A proactive and forward-looking mindset, contributing thought leadership that elevates strategic thinking and fosters a data-driven culture.
- Intellectual curiosity, creativity, and adaptability in solving open-ended business problems in a dynamic environment.
- Proven ability to thrive under pressure, maintaining focus and delivering clarity amid ambiguity; highly autonomous and accountable.
- A solid understanding of SaaS business models, customer health metrics, and operational levers that drive post-sales performance and long-term customer growth.
- Ability to foster a collaborative and supportive work environment by actively sharing knowledge and contributing to the professional growth of the team.
- A proactive and resourceful approach, with a bias for action and comfort navigating ambiguity.
- Strong communication skills, with the ability to translate complex concepts into simple, actionable insights.
- Ability to thrive in a fast-paced and evolving environment, adapting quickly and staying focused.
Nice to Have
- Experience with Python is a strong asset.
Technical Stack
- SQL
- Python
- Tableau
Team & Environment
Analytics is part of the Strategy & Analytics department, our internal consulting team. You will report to the Senior Manager, Customer Analytics.
Benefits & Compensation
- Compensation package includes a minimum annual salary of $151,200, a midpoint of $177,900, and a maximum salary of $204,500, plus stock options.
- Extended health benefits package with fully paid premiums for both body and mind.
- Matching in RRSP, TFSA, or FHSA.
- A dedicated Talent Development team and access to coaching, learning, and leadership programs.
- Annual stipends for health and wellness.
- Retirement savings matching.
We are an equal opportunity employer and are committed to working with applicants requesting accommodation at any stage of the hiring process.




