We’re looking for a Senior Customer Analytics Manager (Sales & Partnerships) to be part of our 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.
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:
Reporting to the Senior Manager, Customer Analytics, the Senior Customer Analytics Manager (Sales & Partnerships) will be a senior analytics partner for Jobber’s Acquisition domain, with primary focus on Sales and Partnerships.
This role will partner closely with leaders across Sales, Partnerships, Lifecycle & Product Marketing, Revenue Operations, Strategy, Marketing Analytics, Product & Fintech Analytics, and Data Science to help Jobber understand and improve how we acquire high-quality customers. You will lead high-impact analytical work across the acquisition funnel, including inbound sales, outbound sales, re-engagement motions, sales productivity, partner-sourced acquisition, channel performance, pipeline health, conversion quality, and acquisition-to-post-conversion handoffs.
This is an individual contributor leadership role, not a people leadership role. You will not directly manage a team, but you will be expected to lead through influence, own an important business domain, shape the analytical roadmap, mentor and guide analysts, manage senior stakeholder relationships, and ensure analytics work translates into better decisions.
The ideal candidate brings strong business acumen, deep analytical expertise, and excellent communication skills. They are comfortable turning ambiguous go-to-market questions into structured analytical approaches, building clear recommendations, and influencing decisions at multiple levels of the organization.
The Senior Customer Analytics Manager (Sales & Partnerships) will:
Lead strategic customer analytics and insight
Act as a strategic thought partner and internal consultant to Sales and Partnerships stakeholders, helping them clarify business questions, evaluate opportunities, measure performance, and make better decisions.
Collaborate closely with Lifecycle & Product Marketing, Revenue Operations, Strategy, Marketing Analytics, Product & Fintech Analytics, BI & Analytics Engineering, and Data Science to ensure Sales and Partnerships analytics is connected to broader acquisition strategy, data foundations, and customer outcomes.
Lead deep-dive analyses across the acquisition funnel, including lead quality, pipeline creation, sales conversion, win/loss dynamics, sales productivity, re-engagement, channel performance, partner performance, and customer quality after conversion.
Help define, refine, and govern the KPIs that matter most for Acquisition, including funnel conversion, sales efficiency, partner-sourced growth, pipeline health, revenue quality, and downstream customer value.
Translate complex business questions into clear analytical plans, decision frameworks, and actionable recommendations.
Evaluate the impact of sales plays, partner programs, channel initiatives, lead routing strategies, go-to-market motions, campaigns, and operational changes.
Help leaders understand not just what happened, but why it happened, what it means, and what Jobber should do next.
Support Sales and Partnerships decision-making
Build a strong analytical understanding of Jobber’s Sales and Partnerships motions, including how different channels, segments, partners, and sales motions contribute to acquisition growth.
Identify opportunities to improve conversion, productivity, prioritization, partner performance, and acquisition efficiency.
Support strategic planning, forecasting, target setting, business cases, and resource allocation decisions across Sales and Partnerships.
Partner with cross-functional teams and go-to-market leaders to improve reporting foundations, metric definitions, funnel visibility, and decision-making workflows.
Analyze the quality and long-term value of acquired customers, helping Jobber optimize for durable growth rather than acquisition volume alone.
Create reusable frameworks and decision tools that help teams evaluate trade-offs across growth, efficiency, customer quality, and operational complexity.
Drive experimentation, impact evaluation, and advanced analytics
Support experimentation and measurement strategies for acquisition initiatives, including A/B tests, pilots, sales plays, partner programs, and lifecycle or re-engagement motions.
Apply advanced analytics techniques such as impact evaluation, scenario analysis, simulation modelling, forecasting, segmentation, and predictive analytics to inform strategic decisions.
Partner with Data Science on more complex modelling opportunities, such as lead scoring, prioritization, sales automation, AI-assisted workflows, or partner and customer propensity models.
Bring strong judgment to ambiguous measurement problems, including cases where perfect experimentation is not possible and directional decision support is still needed.
Help stakeholders understand analytical confidence, limitations, trade-offs, and recommended next actions.
Build trusted stakeholder partnerships and executive-ready communication
Build trusted relationships with senior leaders and cross-functional stakeholders by understanding their goals, shaping analytical roadmaps, and proactively identifying opportunities.
Communicate insights through clear, compelling, executive-ready narratives that connect analysis to decisions and business outcomes.
Present findings, recommendations, dashboards, and decision frameworks in business reviews, leadership forums, and cross-functional meetings.
Make trade-offs visible when stakeholder demand exceeds capacity, helping teams prioritize the work that will have the greatest business impact.
Collaborate across Analytics & Insights to ensure Sales and Partnerships analytics connects cleanly with other analytics teams and pods, BI & Analytics Engineering, and Data Science.
Advance scalable analytics and AI-enabled workflows
Identify recurring or repeatable analytics work that should become automated, standardized, documented, or moved into self-serve.
Partner with BI & Analytics Engineering to improve the data foundation, semantic layer, reporting infrastructure, and self-serve capabilities that support Sales, Partnerships, and broader Acquisition decision-making.
Use AI-assisted analytics workflows responsibly to accelerate exploration, coding, documentation, QA, and storytelling while maintaining strong ownership of output quality.
Promote high-quality analytics practices, including clear metric definitions, reproducible workflows, thoughtful QA, documentation, peer review, and data quality stewardship.
Build scalable assets, dashboards, models, and analytical frameworks that reduce manual reporting and shift analyst time toward higher-judgment work.
Ensure insights are timely, trusted, actionable, and connected to meaningful business outcomes.
Lead as a senior individual contributor, you will:
Lead the Sales and Partnerships analytics domain through influence, ownership, and strong judgment.
Provide mentorship, peer review, and analytical guidance to analysts working in or adjacent to the Acquisition space.
Raise the bar for analytical quality, stakeholder communication, and business impact across the Customer Analytics team.
Contribute to team-wide best practices around prioritization, documentation, QA, AI-enabled workflows, self-serve, and strategic storytelling.
Operate as a senior IC who can independently own ambiguous, high-impact work while helping others grow.
To be successful, you should have:
Expert-level SQL skills, with the ability to work efficiently across complex relational data structures and validate analytical logic with confidence.
Strong experience in B2B SaaS sales, partnerships, acquisition, revenue, or go-to-market analytics.
A deep understanding of acquisition funnels, sales motions, pipeline metrics, conversion dynamics, channel performance, revenue quality, and SaaS business models.
Proficiency with BI and data visualization tools such as Tableau, with a focus on clear, compelling, and actionable reporting and narratives.
Demonstrated experience with foundational and advanced analytics techniques, including performance measurement, exploratory analysis, impact evaluation, experimentation, forecasting, scenario analysis, simulation modelling, and predictive analytics.
Strong business acumen and strategic judgment, with the ability to connect analytical work to company-level growth, efficiency, and customer outcomes.
Excellent stakeholder management skills, with the ability to build trust, clarify ambiguous asks, influence priorities, and guide leaders toward better decisions.
A passion for storytelling through data, with the ability to distill complex analyses into simple, influential insights.
Practical fluency with AI-assisted analytics workflows, with the judgment to use AI responsibly, validate outputs, and own the quality of the final work.
Intellectual curiosity, creativity, and adaptability in solving open-ended business problems in a fast-moving environment.
Demonstrated ability to mentor analysts, lead through influence, and act as a senior IC owner for a business domain.
Proven ability to thrive under pressure, navigate ambiguity, and bring structure to complex or competing demands.
Experience with Python, dbt, Snowflake, Salesforce, data modelling, and productionized analytics workflows is a strong asset.
You should also:
Be proactive and resourceful, with a bias for action. You are comfortable navigating ambiguity, solving conceptual problems, corralling resources, and delivering results independently.
Communicate with clarity and confidence. You actively listen, empathize with stakeholders, and translate complex concepts into simple, actionable insights.
Care deeply about quality. You value strong analytical foundations, thoughtful QA, documentation, peer review, and reproducible work.
Be comfortable making trade-offs visible. You know how to focus on the highest-impact work while helping stakeholders understand what must be deprioritized.
Be excited about the future of analytics. You see AI, automation, and self-serve not just as productivity tools, but as opportunities to redesign how analytics teams create impact.
Lead without authority. You can influence senior stakeholders, guide peers, mentor analysts, and move important work forward without relying on formal people management authority.
Thrive in a fast-paced and evolving environment. You adapt quickly, embrace change, and stay focused even when yesterday’s playbook no longer applies.
Location:
We believe great collaboration is intentional, and sometimes that means coming together in person to build, brainstorm, and connect. To support this, the role is open to candidates based in one of our hub cities: Edmonton, Toronto, Vancouver, or Kitchener-Waterloo.
Compensation:
At Jobber, we believe that compensation should be transparent, fair, and reflective of your experience and growth. This role has a minimum annual salary of $151,200, a midpoint of $177,900, and a maximum salary of $204,500, designed to show the progression from learning the ropes to truly excelling.
We design our compensation to reflect each new hire’s skills, experience against the complexity of the role, ensuring a fair and competitive salary. Our range is intentionally broad to support growth and long-term impact, with fully established hires typically starting around the midpoint. The higher end of the range is reserved for those who have demonstrated deep expertise and lasting contributions, while offers below the midpoint reflect strong potential with room to develop. This approach ensures that compensation aligns with both an individual’s current capabilities and their opportunity for future growth.
Base salary is just one part of a total compensation package that will include equity rewards, annual stipends for health and wellness, retirement savings matching, and an extended health package with fully paid premiums for body and mind. Your professional growth matters to us too! You’ll have access to a dedicated talent development program that includes career coaching and opportunities for career development.
We believe in transparency and open conversations about compensation. If you have any questions about our approach, we’re happy to discuss them throughout the hiring process!
What you can expect from Jobber:
A total compensation package that includes an extended health benefits package with fully paid premiums for both body and mind, matching in RRSP, TFSA or FHSA, and stock options.
A dedicated Talent Development team and access to coaching, learning, and leadership programs to help you grow your career, reach your goals, and unlock your full potential.
A unique opportunity to build, grow, and leave your impact on a $400-billion industry that has no dominant player...yet.
To work with a group of people who are humble, supportive, and give a sh*t about our customers.
We believe that diverse teams perform better and that fostering an inclusive work environment is a key part of growing a successful team. We welcome people of diverse backgrounds, experiences, and perspectives. We are an equal opportunity employer, and we are committed to working with applicants requesting accommodation at any stage of the hiring process.
A bit more about us:
Job by job, we’re transforming the way service is delivered. Your lawn care provider, home cleaning service, plumber or painter could use Jobber to better connect with their customers, save time in the office, invoice faster, and get paid! We’re bringing tens of thousands of people together with technology to deliver billions of dollars a year in services to happy customers. Jobber exists to help make these small businesses successful, and when they’re successful we all win!
