Materials Management Manager Full Time (Edmonton)

Are you passionate about using data to drive impactful business decisions and improve the customer experience? Manager, Customer Analytics (Post-Sales) Jobber exists to help people in small businesses be successful. We work with small home service businesses, like your local plumbers, painters, and landscapers, to transform the way service is delivered through technology. With Jobber, they can quote, schedule, invoice, and collect payments from their customers while providing an easy and professional customer experience. The way we consume and deliver service is changing rapidly, technology is evolving, and customers expect more. Analytics is part of the Strategy & Analytics department, our internal consulting team – they’re the decision support mechanism that connects data & business insights with the rest of the organization. Manager, Customer Analytics (Post‑sales) will lead a team of analysts responsible for driving insight and analytical impact across Jobber’s post‑sales customer journey, including onboarding, support, account management, lifecycle engagement, retention, expansion, and customer value optimization. Senior Manager, Customer Analytics , you’ll combine people leadership, strategic partnership, and strong analytical judgment to help Jobber deepen its understanding of what drives customer success and scale data‑informed decision‑making across the business. This is a high‑leverage role for someone who can lead analysts, build trusted stakeholder relationships, and help evolve the team from reactive reporting toward scalable, AI‑enabled decision support. You’ll help establish clear priorities, manage stakeholder demand, develop reusable analytics assets, and ensure the team’s work translates into measurable business impact. You’ll lead initiatives that assess how customers onboard, engage, grow, renew, expand, and retain over time. You’ll help identify opportunities to improve the customer experience, reduce churn and downgrade risk, increase expansion, and measure the impact of programs, policies, and interventions designed to help customers get more value from Jobber. The Manager, Customer Analytics (Post‑Sales) will Build a collaborative, high‑accountability team setting that values curiosity, analytical rigour, business impact, and continuous improvement. Develop talent through mentorship, feedback, and coaching, helping analysts grow both their technical depth and strategic judgment. Help the team prioritize work based on business impact, stakeholder needs, company priorities, and available capacity. Model analytical leadership by helping the team translate ambiguous business questions into clear analytical approaches, actionable recommendations, and better decisions. Drive strategic insights across the customer lifecycle Partner with leaders across Customer Onboarding, Support, Account Management, Lifecycle Marketing, Product Marketing, and other cross‑functional teams to define success metrics, evaluate initiatives, and uncover opportunities to improve customer outcomes. Lead high‑impact analyses on onboarding performance, customer engagement, support effectiveness, customer health, retention patterns, churn and downgrade risk, expansion opportunities, and long‑term customer value. Develop frameworks, models, dashboards, and decision‑support tools that connect insights across the customer lifecycle and enable proactive management of customer health and growth. Translate business outcomes into analytical roadmaps that balance immediate decision needs with scalable, forward‑looking solutions. Help leaders understand not just what happened, but why it happened, what it means, and what Jobber should do next. Help establish a clear engagement model for Customer Analytics stakeholders, including how work is prioritized, scoped, routed, and delivered. Balance functional stakeholder support, cross‑functional initiatives, recurring reporting, migration work, enablement, and strategic analysis in a way that makes trade‑offs visible and intentional. Protect the team’s focus by distinguishing between must‑do work, essential recurring needs, self‑serve opportunities, and lower‑priority ad‑hoc requests. Identify recurring or repeatable analytics work that should become automated, standardised, documented, or moved into self‑serve. Partner with Analytics Engineering, BI, Data Science, and other Analytics & Insights teams to improve the data foundation, metric definitions, reporting infrastructure, and analytical workflows that support Customer Analytics. Act as a strategic thought partner and internal consultant to customer‑facing and cross‑functional leaders, providing analytical perspectives that inform business strategy, operational priorities, and resource planning. Anticipate business needs and proactively identify analytical opportunities that unlock growth, efficiency, retention, or customer experience improvements. Frame complex business challenges into clear hypotheses, lead structured problem‑solving, and deliver recommendations that influence decisions at multiple levels of the organization. Champion experimentation, scenario modelling, impact evaluation, customer health measurement, and predictive analytics as tools for improving the quality of business decisions. Bring strong judgement to analytical work, ensuring the team is focused on the decisions being made, not just the analyses being produced. Champion data quality, AI‑enabled analytics, storytelling, and enablement Promote strong analytics practices across the team, including clear metric design, QA, documentation, peer review, reproducible workflows, and thoughtful ownership of recurring assets. Enable self‑serve analytics and scalable reporting, empowering business partners to make confident, data‑informed decisions. Help the team adopt AI and automation responsibly, using emerging tools to accelerate analysis, reduce manual reporting, improve documentation, and shift analyst time toward higher‑judgement work. Encourage curiosity and innovation by continuously exploring new data sources, analytical techniques, AI‑assisted workflows, and storytelling approaches that improve understanding of the customer experience. Proven experience as a people leader in analytics, with a strong track record of developing, coaching, and empowering high‑performing analysts. Deep expertise in Customer Success, post‑sales, customer lifecycle, or SaaS business analytics, with hands‑on experience analyzing onboarding, customer engagement, support performance, retention, churn, expansion, or account growth. Expert‑level SQL skills, with the ability to work efficiently across complex relational data structures and review analytical logic with confidence. Proficiency with BI and data visualization tools, such as Tableau, with a focus on creating clear, compelling, and actionable reporting and narratives. Demonstrated experience with foundational and advanced analytics techniques, including performance measurement, exploratory analysis, impact evaluation, scenario analysis, experimentation, simulation modelling, and predictive analytics. Practical fluency with AI‑assisted analytics workflows, with the ability to help analysts use AI responsibly, validate outputs, and own the quality of the work. Strong stakeholder management skills, with the ability to build trust, clarify ambiguous asks, manage competing priorities, and influence leaders through data‑backed recommendations. A passion for storytelling through data, with exceptional communication skills and the ability to distill complex analyses into clear, influential insights. A solid understanding of SaaS business models, customer health metrics, retention dynamics, expansion levers, and the operational drivers of long‑term customer value. Experience with Python, dbt, data modelling, customer health scoring, lifecycle analytics, or productionised analytics workflows is a strong asset. Be a strong people leader who creates clarity, raises the bar, and helps analysts do the best work of their careers. You know how to say yes to the highest‑impact work while helping stakeholders understand what must be deprioritised. Care deeply about quality. You value strong analytical foundations, thoughtful QA, documentation, peer review, and reproducible work. To support this, the role is open to candidates based in one of our hub cities: We design our compensation to reflect each new hire’s skills, experience against the complexity of the role, ensuring a fair and competitive salary. Our range is intentionally broad to support growth and long‑term impact, with fully established hires typically starting around the midpoint. 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. 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. To work with a group of people who are humble, supportive, and give a sh*t about our customers. We are an equal opportunity employer, and we are committed to working with applicants requesting accommodation at any stage of the hiring process. Job by job, we’re transforming the way service is delivered. Your lawn care provider, home cleaning service, plumber or painter could use Jobber to better connect with their customers, save time in the office, invoice faster, and get paid! We’re bringing tens of thousands of people together with technology to deliver billions of dollars a year in services to happy customers. Jobber exists to help make these small businesses successful, and when they’re successful we all win! # Apply on Kit Job: kitjob.ca/job/2prz0s