Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

Tailor your resume to this Senior Customer Analytics Manager role.

Rezi rewrites your resume against Jobber's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Senior Customer Analytics Manager posting at Jobber — free, in seconds.

About the Role

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. This is an individual contributor leadership role focused on leading through influence, owning business domains, shaping analytical roadmaps, mentoring analysts, and managing senior stakeholder relationships.

Responsibilities

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.
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.
Translate complex business questions into clear analytical plans, decision frameworks, and actionable recommendations.
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.
Build a strong analytical understanding of the assigned domain or domains.
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.
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.
Apply advanced analytics techniques such as impact evaluation, scenario analysis, simulation modelling, forecasting, segmentation, and predictive analytics.
Partner with Data Science on more complex modelling opportunities.
Bring strong judgment to ambiguous measurement problems.
Help stakeholders understand analytical confidence, limitations, trade-offs, and recommended next actions.
Build trusted relationships with senior leaders and cross-functional stakeholders.
Communicate insights through clear, compelling, executive-ready narratives.
Present findings, recommendations, dashboards, and decision frameworks in business reviews, leadership forums, and cross-functional meetings.
Make trade-offs visible when stakeholder demand exceeds capacity.
Collaborate across Analytics & Insights to ensure Customer Analytics work connects cleanly with other analytics teams and pods, BI & Analytics Engineering, and Data Science.
Identify recurring or repeatable analytics work that should become automated, standardized, documented, or moved into self-serve.
Partner with BI & Analytics Engineering to improve the data foundation, semantic layer, reporting infrastructure, and self-serve capabilities.
Use AI-assisted analytics workflows responsibly to accelerate exploration, coding, documentation, QA, and storytelling.
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.
Ensure insights are timely, trusted, actionable, and connected to meaningful business outcomes.
Lead one or more important Customer Analytics domains through influence, ownership, and strong judgment.
Provide mentorship, peer review, and analytical guidance to analysts.
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.

Requirements

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.
Proficiency with BI and data visualization tools such as Tableau.
Demonstrated experience with foundational and advanced analytics techniques.
Strong business acumen and strategic judgment.
Excellent stakeholder management skills.
A passion for storytelling through data.
Practical fluency with AI-assisted analytics workflows.
Intellectual curiosity, creativity, and adaptability in solving open-ended business problems.
Demonstrated ability to mentor analysts, lead through influence, and operate as a senior individual contributor.
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.
Be proactive and resourceful, with a bias for action.
Communicate with clarity and confidence.
Care deeply about quality.
Be comfortable making trade-offs visible.
Be excited about the future of analytics.
Lead without authority.
Thrive in a fast-paced and evolving environment.

Skills

SQL
B2B SaaS analytics
Marketplace analytics
Fintech analytics
Revenue analytics
Growth analytics
Product analytics
Customer analytics
Go-to-market analytics
SaaS business models
Customer journey metrics
Funnel performance
Conversion
Activation
Engagement
Retention
Expansion
Monetization
Customer quality
Customer value
BI tools
Data visualization tools
Tableau
Performance measurement
Exploratory analysis
Impact evaluation
Experimentation
Forecasting
Scenario analysis
Simulation modelling
Predictive analytics
Business acumen
Strategic judgment
Stakeholder management
Storytelling through data
AI-assisted analytics workflows
Python
dbt
Snowflake
Salesforce
CRM systems
Customer systems
Data modelling
Productionized analytics workflows

Location

Edmonton
Toronto
Vancouver
Kitchener-Waterloo

Work Type

Onsite

Experience Level

Senior
Individual contributor leadership

Salary/Compensations

$151,200 - $204,500

Benefits

Equity rewards
Annual stipends for health and wellness
Retirement savings matching
Extended health package with fully paid premiums for body and mind
Dedicated talent development program
Career coaching
Opportunities for career development
Stock options
Matching in RRSP, TFSA or FHSA

About the Company

Jobber is transforming the way service is delivered by helping small businesses succeed. Their platform enables service providers to better connect with customers, save time, invoice faster, and get paid. They are bringing tens of thousands of people together with technology to deliver billions of dollars a year in services to happy customers.
Jobber operates in a $400-billion industry that has no dominant player yet.
The team is composed of people who are humble, supportive, and care about customers.

Equal Opportunity

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.