Description
Jobber is looking for a Manager, Customer Analytics (Sales & Marketing) to lead the analytics function supporting Marketing & Channels and Sales & Partnerships pods.
The ideal candidate will combine strong people leadership, hands-on technical depth, and deep Sales and Marketing domain expertise.
Responsibilities:
- Hire, onboard, lead, coach, and develop a high-performing team of analysts
- Establish a clear engagement and prioritization model for Sales and Marketing Analytics
- Build a culture of analytical excellence, high accountability, curiosity, strong QA, documentation, peer review, business ownership, and continuous improvement
- Partner with Analytics Engineering, BI, Data Science, Data Engineering, MarketingOps, and SalesOps to strengthen the data foundation, metric definitions, reporting infrastructure, and governed datasets
- Lead the analytics roadmap across Jobber's Marketing & Channels and Sales & Partnerships pods
- Partner with Sales and Marketing leadership to define success metrics, identify growth opportunities, evaluate strategic bets, and translate ambiguous business questions into clear analytical approaches and actionable recommendations
- Define and evolve Jobber's marketing measurement framework across Marketing Mix Modelling (MMM), Multi-Touch Attribution (MTA), incrementality, experimentation, and forecasting
- Lead the design and operationalization of advanced marketing measurement approaches
- Set standards for how analysts select, build, quality-assure, and interpret advanced measurement methods
- Partner with Performance Marketing, Demand Generation, Brand Marketing & Communications, Partnerships, Finance, and MarketingOps to evaluate spend efficiency, channel mix, conversion quality, saturation, diminishing returns, and budget allocation trade-offs
- Lead analytics that help Sales and Partnerships leaders understand funnel health, lead quality, conversion performance, rep and team productivity, pipeline creation, sales-assisted revenue, partner/referral performance, and opportunities to improve go-to-market efficiency
- Build frameworks, dashboards, models, and decision-support tools that help leaders monitor performance, diagnose issues, and make better planning, resourcing, and prioritization decisions
- Connect sales and marketing performance into a unified view of acquisition economics
- Bring an analytical perspective to growth strategy, planning, investment decisions, and operating reviews with Directors, Senior Directors, VPs, and cross-functional leaders
- Translate complex analytical work into clear narratives, trade-offs, and recommendations that senior leaders can act on
- Contribute to Jobber's Analytics 2.0 roadmap by identifying where AI, ML, automation, and agentic analytics can accelerate Sales and Marketing measurement, forecasting, diagnostics, storytelling, and self-serve decision support
- Partner with Analytics Engineering, BI, Data Science, and Data Engineering to operationalize AI-assisted workflows and analytics agents
- Champion governed self-serve analytics and trusted metrics so Sales and Marketing leaders can answer recurring performance questions without routing every request through an analyst
- Help analysts adopt AI responsibly, validating outputs, understanding limitations, documenting methods, and using automation to create more capacity for strategic modelling and business influence.
Requirements:
- Deep experience in Sales, Marketing, Growth, Revenue, Demand Generation, Performance Marketing, Channels, Partnerships, or GTM analytics
- Strong understanding of customer acquisition economics
- Deep, hands-on experience with marketing and GTM measurement approaches
- Experience helping senior Sales and Marketing leaders define success metrics, evaluate performance, diagnose growth opportunities, and make better decisions
- Familiarity with marketing, sales, CRM, ad platform, lifecycle, partnerships, and revenue funnel data
- Hands-on experience building or significantly contributing to advanced marketing measurement approaches
- Expert-level SQL skills
- Strong hands-on analytical skills
- Strong proficiency in Python or R
- Strong statistical judgment
- Experience with modern data stacks and BI tools
- Proven experience as a people leader in analytics
- Strong strategic judgment
- Excellent stakeholder management skills
- Exceptional communication and storytelling skills
- Demonstrated ability to lead AI-assisted analytics adoption across a team.
Location: Edmonton, Toronto, Vancouver, or Kitchener-Waterloo
Compensation: The role has a minimum annual salary of $139,370, a midpoint of $199,100, and a maximum salary of $228,965.