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Jobber is seeking a Senior Business Data Scientist, Marketing to join its Analytics team within the Strategy & Analytics department. This is a senior individual contributor role (not a people management position) reporting to the Senior Manager, Customer Analytics.
You will serve as a strategic analytics partner for high-priority customer analytics domains, working closely with business leaders and cross-functional teams to drive insights across the customer journey. Your work will span acquisition, onboarding, lifecycle engagement, product adoption, monetization, retention, expansion, and customer success—helping Jobber understand customer behavior, business performance, growth opportunities, and long-term customer value drivers.
Key responsibilities include:
• Lead strategic customer analytics and insights: Act as an internal consultant to stakeholders, helping clarify business questions, evaluate opportunities, measure performance, and support better decision-making across assigned domains.
• Conduct deep-dive analyses: Investigate funnel performance, customer segmentation, conversion, engagement, product usage, retention, expansion, and operational effectiveness across the customer journey.
• Define and govern KPIs: Help establish, refine, and maintain metrics that matter most for assigned domains, including performance, efficiency, customer quality, and downstream business impact.
• Translate business questions into analytical frameworks: Build clear analytical plans, decision frameworks, and actionable recommendations that help leaders understand not just what happened, but why and what to do next.
• Support strategic decision-making: Build domain expertise, identify growth and efficiency opportunities, support planning and forecasting, and help optimize for durable growth.
• Drive experimentation and advanced analytics: Design and support A/B tests, pilots, and campaigns. Apply advanced techniques such as impact evaluation, scenario analysis, forecasting, segmentation, and predictive analytics. Partner with Data Science on complex modeling opportunities.
• Build executive partnerships: Develop trusted relationships with senior leaders, communicate insights through compelling narratives, and present findings in leadership forums.
You will lead through influence, mentor analysts, manage senior stakeholder relationships, and ensure analytics work translates into better organizational decisions. The ideal candidate brings strong business acumen, deep analytical expertise, excellent communication skills, and comfort turning ambiguous questions into structured analytical approaches.
