Senior Customer Analytics Manager (Sales & Partnerships)

Join Jobber as a Senior Customer Analytics Manager (Sales & Partnerships) and be a key player in driving business outcomes through data and insights. In this individual contributor leadership role, you will partner closely with various teams to improve customer acquisition and sales performance. You will lead high-impact analytical work across the acquisition funnel, define and govern key performance indicators, and support strategic planning and decision-making. The ideal candidate will have strong business acumen, deep analytical expertise, and excellent communication skills.

• 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.
• 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.
• 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.
• 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
• Thrive in a fast-paced and evolving environment. You adapt quickly, embrace change, and stay focused even when yesterday’s playbook no longer applies
• 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
• Practical fluency with AI-assisted analytics workflows, with the judgment to use AI responsibly, validate outputs, and own the quality of the final work
• 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
• Lead without authority. You can influence senior stakeholders, guide peers, mentor analysts, and move important work forward without relying on formal people management authority
• A passion for storytelling through data, with the ability to distill complex analyses into simple, influential insights
• Expert-level SQL skills, with the ability to work efficiently across complex relational data structures and validate analytical logic with confidence
• Be comfortable making trade-offs visible. You know how to focus on the highest-impact work while helping stakeholders understand what must be deprioritized
• A deep understanding of acquisition funnels, sales motions, pipeline metrics, conversion dynamics, channel performance, revenue quality, and SaaS business models
• Strong experience in B2B SaaS sales, partnerships, acquisition, revenue, or go-to-market analytics
• Communicate with clarity and confidence. You actively listen, empathize with stakeholders, and translate complex concepts into simple, actionable insights
• Experience with Python, dbt, Snowflake, Salesforce, data modelling, and productionized analytics workflows is a strong asset
• Be proactive and resourceful, with a bias for action. You are comfortable navigating ambiguity, solving conceptual problems, corralling resources, and delivering results independently
• Care deeply about quality. You value strong analytical foundations, thoughtful QA, documentation, peer review, and reproducible work
• Strong business acumen and strategic judgment, with the ability to connect analytical work to company-level growth, efficiency, and customer outcomes
• Proven ability to thrive under pressure, navigate ambiguity, and bring structure to complex or competing demands
• Demonstrated experience with foundational and advanced analytics techniques, including performance measurement, exploratory analysis, impact evaluation, experimentation, forecasting, scenario analysis, simulation modelling, and predictive analytics
• Demonstrated ability to mentor analysts, lead through influence, and act as a senior IC owner for a business domain
• Excellent stakeholder management skills, with the ability to build trust, clarify ambiguous asks, influence priorities, and guide leaders toward better decisions