Senior Customer Analytics Manager (Winnipeg)

Senior Customer Analytics Manager (Winnipeg)

27 Aug
|
Octopusapp
|
Winnipeg

27 Aug

Octopusapp

Winnipeg

Are you passionate about using data to drive impactful business decisions?

Senior Customer Analytics Manager 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. Reporting to the Senior Manager, Customer Analytics, the Senior Customer Analytics Manager will be a senior analytics partner for one or more of Jobber’s high-priority Customer Analytics domains. This role will partner closely with business leaders and cross-functional teams to help Jobber better understand customer behaviour, business performance, growth opportunities, and the drivers of long-term 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 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. 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.

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 high-priority 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 go-to-market or customer-facing teams. Lead deep-dive analyses across the customer journey, including acquisition, onboarding, engagement, product adoption, monetization, retention, expansion, customer quality, and long-term 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. Evaluate the impact of strategic initiatives, operational changes, go-to-market 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 decision-making 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 long-term value. Support strategic planning, forecasting, target setting, business cases, and resource allocation decisions.

Partner with cross-functional teams and business leaders to improve reporting foundations, metric definitions, funnel or journey visibility, and decision-making workflows.



Analyze the quality and long-term value of different customer groups, helping Jobber optimize for durable growth rather than short-term volume alone. Create reusable frameworks and decision tools that help teams evaluate trade-offs across growth, efficiency, customer outcomes, and operational complexity.

Support experimentation and measurement strategies for strategic initiatives, including A/B tests, pilots, campaigns, lifecycle programs, product initiatives, operational changes, and customer-facing 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, AI-assisted workflows, or other predictive systems.

Bring solid 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, trade-offs, and recommended next actions. Build trusted relationships with senior leaders and cross-functional stakeholders by understanding their goals, shaping analytical roadmaps, and proactively identifying opportunities.

Make trade-offs 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 AI-enabled workflows

Partner with BI & Analytics Engineering to improve the data foundation, semantic layer, reporting infrastructure, and self-serve capabilities that support Customer Analytics decision-making. Use AI-assisted analytics workflows responsibly to accelerate exploration, coding, documentation, QA, and storytelling while maintaining strong ownership of output quality. Promote high-quality 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 higher-judgment work. Lead as a senior individual contributor, you will:

Lead one or more important Customer Analytics domains through influence, ownership, and strong judgment. Raise the bar for analytical quality, stakeholder communication, and business impact across the Customer Analytics team. Contribute to team-wide best practices around prioritization, documentation, QA, AI-enabled workflows, self-serve, and strategic storytelling.

Operate as a senior individual contributor who can independently own ambiguous, high-impact work while helping others grow. Expert-level 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 go-to-market 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 transparent, 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 company-level 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 AI-assisted analytics workflows, with the judgment to use AI responsibly, validate outputs, and own the quality of the final work. Demonstrated ability to mentor analysts, lead through influence, and operate as a senior individual contributor owning one or more business domains.

Experience with Python, dbt, Snowflake, Salesforce or other CRM/customer systems, data modelling, and productionized analytics workflows is a strong asset. Care deeply about quality. You value strong analytical foundations, thoughtful QA, documentation, peer review, and reproducible work.

You know how to focus on the highest-impact work while helping stakeholders understand what must be deprioritized. You see AI, automation, and self-serve not just as productivity tools, but as opportunities to redesign how analytics teams create impact. You can influence senior stakeholders, guide peers, mentor analysts, and move important work forward without relying on formal people management authority.

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! #

📌 Senior Customer Analytics Manager (Winnipeg)
🏢 Octopusapp
📍 Winnipeg

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