Senior Customer Analytics Manager

Join Jobber as a Senior Customer Analytics Manager, where you will be a key analytics partner for high-priority Customer Analytics domains. You will work closely with business leaders and cross-functional teams to understand customer behavior, business performance, growth opportunities, and long-term customer value. This individual contributor leadership role requires strong analytical expertise, business acumen, and excellent communication skills.

• Act as a strategic thought partner and internal consultant to stakeholders across one or more high-priority Customer Analytics domains, helping them clarify business questions, evaluate opportunities, measure performance, and make better decisions.
• Lead high-impact analytical work across the customer journey, including funnel performance, customer segmentation, conversion, engagement, product usage, retention, expansion, operational effectiveness, and long-term value.
• Collaborate closely with teams across Jobber, including Revenue Operations, Strategy, Marketing Analytics, Product & Fintech Analytics, BI & Analytics Engineering, Data Science, and relevant go-to-market or customer-facing teams.
• The ideal candidate brings strong business acumen, deep analytical expertise, and excellent communication skills. They are comfortable turning ambiguous business questions into structured analytical approaches, building clear recommendations, and influencing decisions at multiple levels of the organization
• Be comfortable making trade-offs visible. You know how to focus on the highest-impact work while helping stakeholders understand what must be deprioritized
• Demonstrated experience with foundational and advanced analytics techniques, including performance measurement, exploratory analysis, impact evaluation, experimentation, forecasting, scenario analysis, simulation modelling, and predictive analytics
• A deep understanding of SaaS business models and customer journey metrics, such as funnel performance, conversion, activation, engagement, retention, expansion, monetization, customer quality, and customer value
• 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
• Thrive in a fast-paced and evolving environment. You adapt quickly, embrace change, and stay focused even when yesterday’s playbook no longer applies
• Intellectual curiosity, creativity, and adaptability in solving open-ended business problems in a fast-moving environment
• Proficiency with BI and data visualization tools such as Tableau, with a focus on clear, compelling, and actionable reporting and narratives
• Expert-level SQL skills, with the ability to work efficiently across complex relational data structures and validate analytical logic with confidence
• Lead without authority. You can influence senior stakeholders, guide peers, mentor analysts, and move important work forward without relying on formal people management authority
• Strong business acumen and strategic judgment, with the ability to connect analytical work to company-level growth, efficiency, and customer outcomes
• Strong experience in B2B SaaS, marketplace, fintech, revenue, growth, product, customer, or go-to-market analytics
• Practical fluency with AI-assisted analytics workflows, with the judgment to use AI responsibly, validate outputs, and own the quality of the final work
• Excellent stakeholder management skills, with the ability to build trust, clarify ambiguous asks, influence priorities, and guide leaders toward better decisions
• Care deeply about quality. You value strong analytical foundations, thoughtful QA, documentation, peer review, and reproducible work
• Proven ability to thrive under pressure, navigate ambiguity, and bring structure to complex or competing demands
• 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
• Experience with Python, dbt, Snowflake, Salesforce or other CRM/customer systems, data modelling, and productionized analytics workflows is a strong asset
• Communicate with clarity and confidence. You actively listen, empathize with stakeholders, and translate complex concepts into simple, actionable insights
• A passion for storytelling through data, with the ability to distill complex analyses into simple, influential insights
• Demonstrated ability to mentor analysts, lead through influence, and operate as a senior individual contributor owning one or more business domains