Senior Customer Analytics Manager (Sales & Partnerships)

Are you passionate about using data to drive impactful business decisions?

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 accel