About the Role

Are you passionate about using data to drive impactful business decisions? We’re looking for a Senior Customer Analytics Manager (Sales & Partnerships) to join our Analytics team.

Jobber exists to help people in small businesses be successful. We work with small home service businesses—plumbers, painters, landscapers—to transform the way service is delivered through technology. Through Jobber they can quote, schedule, invoice, and collect payments from their customers while providing an easy and professional customer experience.

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.

The Team

Analytics is part of the Strategy & Analytics department, our internal consulting team— the decision support mechanism that connects data & business insights with the rest of the organization. Analytics is a central function that drives business outcomes across 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 partners closely with leaders across Sales, Partnerships, Lifecycle & Product Marketing, Revenue Operations, Strategy, Marketing Analytics, Product & Fintech Analytics, and Data Science to help the company understand and improve how we acquire high‑quality customers. You will lead high‑impact analytical work across the acquisition funnel: 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 lead through influence, own a business domain, shape the analytical roadmap, mentor and guide analysts, manage senior stakeholder relationships, and ensure analytics work translates into better decisions.

Key Responsibilities

- 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 align analytics with 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—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 what happened, why it happened, what it means, and what should come 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 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 the company optimize for durable growth rather than volume alone.
- Create reusable frameworks and decision tools that evaluate trade‑offs across growth, efficiency, customer quality, and operational complexity.

Drive Experimentation and Advanced Analytics

- Support experimentation and measurement strategies for acquisition initiatives—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 complex modelling opportunities—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.
- Help stakeholders understand analytical confidence, limitations, trade‑offs, and recommended 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 with greatest impact.
- Collaborate across Analytics & Insights to ensure Sales and Partnerships analytics connects cleanly with other analytics teams, BI & Analytics Engineering, and Data Science.

Advance Scalable Analytics and AI‑Enabled Workflows

- Identify recurring or repeatable analytics work that should be 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 solid ownership of output quality.
- Promote high‑quality analytics practices—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 business outcomes.

Lead as a Senior Individual Contributor

- Lead the Sales and Partnerships analytics domain through influence, ownership, and solid judgment.
- Provide mentorship, peer review, and analytical guidance to analysts 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.

Qualifications





- Expert‑level SQL skills; ability to work efficiently across complex relational data structures and validate analytical logic.
- Strong experience in B2B SaaS sales, partnerships, acquisition, revenue, or go‑to‑market analytics.
- 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, focusing on clear, compelling, actionable reporting and narratives.
- Demonstrated experience with foundational and advanced analytics techniques—performance measurement, exploratory analysis, impact evaluation, experimentation, forecasting, scenario analysis, simulation modelling, and predictive analytics.
- Strong business acumen and strategic judgment; ability to connect analytical work to company growth, efficiency, and customer outcomes.
- Excellent stakeholder management skills; ability to build trust, clarify ambiguous asks, influence priorities, and guide leaders toward better decisions.
- A passion for storytelling through data; ability to distill complex analyses into simple, influential insights.
- Practical fluency with AI‑assisted analytics workflows, with judgment to use AI responsibly, validate outputs, and own final work quality.
- Intellectual curiosity, creativity, and adaptability to solve open‑ended problems in a fast‑moving environment.
- Experience mentoring analysts, leading through influence, and acting as a senior IC owner for a business domain.
- Ability to thrive under pressure, navigate ambiguity, and bring structure to complex or competing demands.
- Strong asset: experience with Python, dbt, Snowflake, Salesforce, data modelling, and productionized analytics workflows.

Additional Desired Skills

- Proactive and resourceful, with a bias for action.
- Clear and confident communicator; actively listens and translates complex concepts.
- Deep commitment to quality—strong analytical foundations, QA, documentation, and reproducible work.
- Skilled at making trade‑offs visible and focusing on highest‑impact work.
- Excited about the future of analytics—AI, automation, and self‑serve as productivity tools and opportunities for impact.
- Lead without authority—influence senior stakeholders, guide peers, mentor analysts, and move important work forward without people‑management authority.
- Adapt quickly to a fast‑paced and evolving environment, staying focused when playbooks evolve.

Location

The role is open to candidates based in one of our hub cities: Edmonton, Toronto, Vancouver, or Kitchener‑Waterloo .

Compensation

The minimum annual salary is $151,200, midpoint $177,900, and maximum $204,500. Base salary is one part of a total package that includes equity, annual health & wellness stipends, retirement savings matching, and an extended health package with fully paid premiums. The company also offers a talent development program, career coaching, and leadership learning opportunities.

What You Can Expect from Jobber

- 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 with coaching, learning, and leadership programs.
- A unique opportunity to impact a growing industry that has no dominant player.
- Work with a group of people who are humble, supportive, and deeply care about customers.

EEO & Diversity Statement

We believe that diverse teams perform better and foster an inclusive work environment. We welcome applicants of diverse backgrounds, experiences, and perspectives. We are an equal‑opportunity employer and are committed to accommodations during the hiring process.

About Jobber

Jobber is transforming the way service is delivered. Your lawn care provider, home cleaning service, plumber, or painter could use Jobber to better connect with customers, save time, invoice faster, and get paid. We bring tens of thousands of people together with technology to deliver billions of dollars a year in services to happy customers. Jobber exists to help small businesses succeed, and when they’re successful we all win!

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📌 Senior Customer Analytics Manager (Sales & Partnerships) (Vancouver)
🏢 Jobber
📍 Vancouver