Job Title

Are you passionate about using data to drive impactful business decisions? Were looking for a Senior Customer Analytics Manager to be part of our Analytics team. The Team: Analytics is part of the Strategy & Analytics department, our internal consulting team - theyre the decision support mechanism that connects data & business insights with the rest of the organization. In essence, Analytics is a central function that exists to drive business outcomes in all corners of Jobbers ecosystem. The Role: Reporting to the Senior Manager, Customer Analytics, the Senior Customer Analytics Manager will be a senior analytics partner for one or more of Jobbers high-priority Customer Analytics domains. This role will partner closely with business leaders and crossfunctional teams to help Jobber better understand customer behaviour, business performance, growth opportunities, and the drivers of longterm customer value. Depending on business priorities, this work may span areas such as acquisition, onboarding, lifecycle engagement, product adoption, monetization, retention, expansion, customer success, or other strategic customer domains. You will lead highimpact analytical work across the customer journey, including funnel performance, customer segmentation, conversion, engagement, product usage, retention, expansion, operational effectiveness, and longterm value. This is an individual contributor leadership role, not a people leadership role. You will not directly manage a team, but you will be expected to lead through influence, own one or more important business domains, shape analytical roadmaps, mentor and guide analysts, manage senior stakeholder relationships, and ensure analytics work translates into better decisions. 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. The Senior Customer Analytics Manager will: - Lead strategic customer analytics and insight - Act as a strategic thought partner and internal consultant to stakeholders across one or more highpriority Customer Analytics domains, helping them clarify business questions, evaluate opportunities, measure performance, and make better decisions. - Collaborate closely with teams across Jobber, including Revenue Operations, Strategy, Marketing Analytics, Product & Fintech Analytics, BI & Analytics Engineering, Data Science, and relevant gotomarket or customerfacing teams. - Lead deepdrive analyses across the customer journey, including acquisition, onboarding, engagement, product adoption, monetization, retention, expansion, customer quality, and longterm customer value. - Help define, refine, and govern the KPIs that matter most for the assigned domain or domains, including performance, efficiency, customer quality, customer outcomes, and downstream business impact. - Translate complex business questions into clear analytical plans, decision frameworks, and actionable recommendations. - Evaluate the impact of strategic initiatives, operational changes, gotomarket motions, customer programs, product or lifecycle initiatives, and other business priorities. - Help leaders understand not just what happened, but why it happened, what it means, and what Jobber should do next. - Support decisionmaking across assigned domains - Build a strong analytical understanding of the assigned domain or domains, including how different customer segments, behaviours, channels, products, teams, or motions contribute to business performance. - Identify opportunities to improve growth, efficiency, prioritization, customer experience, customer quality, and longterm value. - Support strategic planning, forecasting, target setting, business cases, and resource allocation decisions. - Partner with crossfunctional teams and business leaders to improve reporting foundations, metric definitions, funnel or journey visibility, and decisionmaking workflows. - Analyze the quality and longterm value of different customer groups, helping Jobber optimize for durable growth rather than shortterm volume alone. - Create reusable frameworks and decision tools that help teams evaluate tradeoffs across growth, efficiency, customer outcomes, and operational complexity. - Drive experimentation, impact evaluation, and advanced analytics - Support experimentation and measurement strategies for strategic initiatives, including A/B tests, pilots, campaigns, lifecycle programs, product initiatives, operational changes, and customerfacing programs. - 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 more complex modelling opportunities, such as customer scoring, prioritization, churn or expansion propensity, automation, AIassisted workflows, or other predictive systems. - Bring strong judgment to ambiguous measurement problems, including cases where perfect experimentation is not possible and directional decision support is still needed. - Help stakeholders understand analytical confidence, limitations, tradeoffs, and recommended next actions. - Build trusted stakeholder partnerships and executiveready communication - Build trusted relationships with senior leaders and crossfunctional stakeholders by understanding their goals, shaping analytical roadmaps, and proactively identifying opportunities. - Communicate insights through clear, compelling, executiveready narratives that connect analysis to decisions and business outcomes. - Present findings, recommendations, dashboards, and decision frameworks in business reviews, leadership forums, and crossfunctional meetings. - Make tradeoffs visible when stakeholder demand exceeds capacity, helping teams prioritize the work that will have the greatest business impact. - Collaborate across Analytics & Insights to ensure Customer Analytics work connects cleanly with other analytics teams and pods, BI & Analytics Engineering, and Data Science. - Advance scalable analytics and AIenabled workflows - Identify recurring or repeatable analytics work that should become automated, standardized, documented, or moved into selfserve. - Partner with BI & Analytics Engineering to improve the data foundation, semantic layer, reporting infrastructure, and selfserve capabilities that support Customer Analytics decisionmaking. - Use AIassisted analytics workflows responsibly to accelerate exploration, coding, documentation, QA, and storytelling while maintaining strong ownership of output quality. - Promote highquality analytics practices, including 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 higherjudgment work. - Ensure insights are timely, trusted, actionable, and connected to meaningful business outcomes. - Lead as a senior individual contributor, you will: - Lead one or more important Customer Analytics domains through influence, ownership, and strong judgment. - Provide mentorship, peer review, and analytical guidance to analysts working in or adjacent to those domains. - Raise the bar for analytical quality, stakeholder communication, and business impact across the Customer Analytics team. - Contribute to teamwide best practices around prioritization, documentation, QA, AIenabled workflows, selfserve, and strategic storytelling. - Operate as a senior individual contributor who can independently own ambiguous, highimpact work while helping others grow. To be successful, you should have: - Expertlevel SQL skills, with the ability to work efficiently across complex relational data structures and validate analytical logic with confidence. - Strong experience in B2B SaaS, marketplace, fintech, revenue, growth, product, customer, or gotomarket 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. - Proficiency with BI and data visualization tools such as Tableau, with a focus on clear, compelling, and actionable reporting and narratives. - Demonstrated experience with foundational and advanced analytics techniques, including performance measurement, exploratory analysis, impact evaluation, experimentation, forecasting, scenario analysis, simulation modelling, and predictive analytics. - Strong business acumen and strategic judgment, with the ability to connect analytical work to companylevel growth, efficiency, and customer outcomes. - Excellent stakeholder management skills, with the ability to build trust, clarify ambiguous asks, influence priorities, and guide leaders toward better decisions. - A passion for storytelling through data, with the ability to distill complex analyses into simple, influential insights. - Practical fluency with AIassisted 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 openended business problems in a fastmoving environment. - Demonstrated ability to mentor analysts, lead through influence, and operate as a senior individual contributor owning one or more business domains. - Proven ability to thrive under pressure, navigate ambiguity, and bring structure to complex or competing demands. - Experience with Python, dbt, Snowflake, Salesforce or other CRM/customer systems, data modelling, and productionized analytics workflows is a strong asset. 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. - Communicate with clarity and confidence. You actively listen, empathize with stakeholders, and translate complex concepts into simple, actionable insights. - Care deeply about quality. You value strong analytical foundations, thoughtful QA, documentation, peer review, and reproducible work. - Be comfortable making tradeoffs visible. You know how to focus on the highestimpact work while helping stakeholders understand what must be deprioritized. - Be excited about the future of analytics. You see AI, automation, and selfserve not just as productivity tools, but as opportunities to redesign how analytics teams create impact. - Lead without authority. You can influence senior stakeholders, guide peers, mentor analysts, and move important work forward without relying on formal people management authority. - Thrive in a fastpaced and evolving environment. You adapt quickly, embrace change, and stay focused even when yesterdays playbook no longer applies. Location: We believe great collaboration is intentional, and sometimes that means coming together in person to build, brainstorm, and connect. To support this, the role is open to candidates based in one of our hub cities: Edmonton, Toronto, Vancouver, or KitchenerWaterloo. Compensation: At Jobber, we believe that compensation should be transparent, fair, and reflective of your experience and growth. This role has a minimum annual salary of $151,200, a midpoint of $177,900, and a maximum salary of $204,500, designed to show the progression from learning the ropes to truly excelling. We design our compensation to reflect each new hires skills, experience against the complexity of the role, ensuring a fair and competitive salary. Our range is intentionally broad to support growth and longterm impact, with fully established hires typically starting around the midpoint. The higher end of the range is reserved for those who have demonstrated deep expertise and lasting contributions, while offers below the midpoint reflect strong potential with room to develop. This approach ensures that compensation aligns both with an individuals current capabilities and their opportunity for future growth. Base salary is just one part of a total compensation package that will include equity rewards, annual stipends for health and wellness, retirement savings matching, and an extended health package with fully paid premiums for body and mind. Your professional growth matters to us too! Youll have access to a dedicated talent development program that includes career coaching and opportunities for career development. We believe in transparency and open conversations about compensation. If you have any questions about our approach, were happy to discuss them throughout the hiring process! What you can expect from Jobber: - A total compensation package that includes an 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 and access to coaching, learning, and leadership programs to help you grow your career, reach your goals, and unlock your full potential. We believe that diverse teams perform better and that fostering an inclusive work environment is a key part of growing a successful team. We welcome people of diverse backgrounds, experiences, and perspectives. We are an equal opportunity employer, and we are committed to working with applicants requesting accommodation at any stage of the hiring process. #J-18808-Ljbffr