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

Target Resume Now

Tailor your resume to this Manager, Customer Analytics (Sales & Marketing) 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 Manager, Customer Analytics (Sales & Marketing) posting at Jobber — free, in seconds.

About the Role

Jobber is seeking a Manager, Customer Analytics (Sales & Marketing) to lead the analytics function supporting their Marketing & Channels and Sales & Partnerships pods. This leader will manage a team of analysts and partner closely with senior leadership across various departments to set the technical, methodological, and strategic direction for high-impact Sales and Marketing analytics. The role owns the measurement infrastructure to connect acquisition investment to revenue growth, understand marketing effectiveness, evaluate channel performance, and improve visibility into key business metrics.

Responsibilities

Hire, onboard, lead, coach, and develop a high-performing team of analysts.
Establish a clear engagement and prioritization model for Sales and Marketing Analytics.
Build a culture of analytical excellence, high accountability, curiosity, strong QA, documentation, peer review, business ownership, and continuous improvement.
Partner with Analytics Engineering, BI, Data Science, Data Engineering, MarketingOps, and SalesOps to strengthen the data foundation, metric definitions, reporting infrastructure, and governed datasets.
Lead the analytics roadmap across Jobber’s Marketing & Channels and Sales & Partnerships pods.
Partner with Sales and Marketing leadership to define success metrics, identify growth opportunities, evaluate strategic bets, and translate ambiguous business questions into clear analytical approaches and actionable recommendations.
Help Jobber understand not just what is happening across the go-to-market funnel, but why it is happening, what it means, and what leaders should do next.
Define and evolve Jobber’s marketing measurement framework across MMM, MTA, incrementality, experimentation, and forecasting.
Lead the design and operationalization of advanced marketing measurement approaches.
Set standards for how analysts select, build, quality-assure, and interpret advanced measurement methods.
Partner with Performance Marketing, Demand Generation, Brand Marketing & Communications, Partnerships, Finance, and MarketingOps to evaluate spend efficiency, channel mix, conversion quality, saturation, diminishing returns, and budget allocation trade-offs.
Lead analytics that help Sales and Partnerships leaders understand funnel health, lead quality, conversion performance, rep and team productivity, pipeline creation, sales-assisted revenue, partner/referral performance, and opportunities to improve go-to-market efficiency.
Build frameworks, dashboards, models, and decision-support tools that help leaders monitor performance, diagnose issues, and make better planning, resourcing, and prioritization decisions.
Connect sales and marketing performance into a unified view of acquisition economics.
Bring an analytical perspective to growth strategy, planning, investment decisions, and operating reviews with Directors, Senior Directors, VPs, and cross-functional leaders.
Translate complex analytical work into clear narratives, trade-offs, and recommendations that senior leaders can act on.
Contribute to Jobber’s Analytics 2.0 roadmap by identifying where AI, ML, automation, and agentic analytics can accelerate Sales and Marketing measurement, forecasting, diagnostics, storytelling, and self-serve decision support.
Partner with Analytics Engineering, BI, Data Science, and Data Engineering to operationalize AI-assisted workflows and analytics agents.
Champion governed self-serve analytics and trusted metrics so Sales and Marketing leaders can answer recurring performance questions without routing every request through an analyst.
Help analysts adopt AI responsibly, validating outputs, understanding limitations, documenting methods, and using automation to create more capacity for strategic modelling and business influence.

Requirements

Deep experience in Sales, Marketing, Growth, Revenue, Demand Generation, Performance Marketing, Channels, Partnerships, or GTM analytics, ideally in a high-growth SaaS or subscription business.
Strong understanding of customer acquisition economics, including CAC, LTV, payback period, funnel conversion, pipeline quality, channel performance, sales efficiency, partner/referral performance, and subscription revenue growth.
Deep, hands-on experience with marketing and GTM measurement approaches, including attribution, incrementality testing, experimentation, forecasting, budget allocation, and the practical limitations of each method.
Experience helping senior Sales and Marketing leaders define success metrics, evaluate performance, diagnose growth opportunities, and make better decisions across the go-to-market funnel.
Familiarity with marketing, sales, CRM, ad platform, lifecycle, partnerships, and revenue funnel data, including paid search, paid social, organic, referral, brand, partnerships, lifecycle marketing, and platform-specific measurement constraints from tools such as Google Ads, Meta, and programmatic ad platforms.
Hands-on experience building or significantly contributing to advanced marketing measurement approaches such as Marketing Mix Modelling, Multi-Touch Attribution, incrementality experiments, geo or matched-market tests, synthetic control, spend efficiency curves, or causal inference methods.
Expert-level SQL skills, with the ability to work across complex data structures, build analytical datasets, and review analytical logic with confidence.
Strong hands-on analytical skills, including performance measurement, exploratory analysis, cohort analysis, impact evaluation, experimentation, forecasting, scenario analysis, segmentation, predictive modelling, and causal inference techniques.
Strong proficiency in Python or R for modelling, automation, statistical analysis, and productionized analytics workflows.
Strong statistical judgment, including comfort with confidence intervals, effect size estimation, variance, seasonality, bias, model uncertainty, and balancing analytical rigour with pragmatic business decision-making.
Experience with modern data stacks and BI tools such as dbt, Snowflake, Redshift, Looker, Tableau, or similar platforms.
Proven experience as a people leader in analytics, with a strong track record of developing, coaching, and empowering high-performing analysts.
Strong strategic judgment, with the ability to shape priorities, influence senior leaders, and connect analytical work to company-level growth outcomes.
Experience owning an analytics roadmap in a fast-moving environment with competing stakeholder needs and high-impact business decisions.
Excellent stakeholder management skills, with the ability to build trust, clarify ambiguous asks, manage trade-offs, and influence Directors, Senior Directors, VPs, and cross-functional leaders through data-backed recommendations.
Exceptional communication and storytelling skills, with the ability to translate complex analysis, uncertainty, and trade-offs into clear executive-ready narratives.
Demonstrated ability to lead AI-assisted analytics adoption across a team, including identifying high-value use cases, setting QA and governance expectations, validating outputs, improving documentation, accelerating analysis, and helping analysts use AI to deliver better decision support without compromising quality.

Skills

Sales Analytics
Marketing Analytics
Growth Analytics
Revenue Analytics
Demand Generation Analytics
Performance Marketing Analytics
Channel Analytics
Partnership Analytics
GTM Analytics
SaaS Analytics
Subscription Business Analytics
Customer Acquisition Economics
CAC
LTV
Payback Period
Funnel Conversion
Pipeline Quality
Channel Performance
Sales Efficiency
Partner/Referral Performance
Subscription Revenue Growth
Marketing Measurement
Go-to-Market Measurement
Attribution
Incrementality Testing
Experimentation
Forecasting
Budget Allocation
Marketing Mix Modelling (MMM)
Multi-Touch Attribution (MTA)
Geo or Matched-Market Tests
Synthetic Control
Spend Efficiency Curves
Causal Inference
SQL
Python
R
Statistical Analysis
Productionized Analytics Workflows
Marketing Mix Modelling Libraries
Statistical Modelling Frameworks
Robyn
Meridian
PyMC-Marketing
Bayesian Modelling
Statistical Judgment
Confidence Intervals
Effect Size Estimation
Variance
Seasonality
Bias
Model Uncertainty
Pragmatic Business Decision-Making
Modern Data Stacks
BI Tools
dbt
Snowflake
Redshift
Looker
Tableau
Scalable Reporting
Decision-Support Assets
People Leadership
Strategic Judgment
Stakeholder Management
Communication
Storytelling
AI-Assisted Analytics
Self-Serve Analytics

Location

Edmonton
Toronto
Vancouver
Kitchener-Waterloo

Work Type

Hybrid

Experience Level

Manager
Senior Leader

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
RRSP, TFSA or FHSA matching

About the Company

Jobber exists to help people in small businesses be successful, transforming the way service is delivered through technology for small home service businesses.
Jobber enables businesses to quote, schedule, invoice, and collect payments, providing an easy and professional customer experience.
The company's culture of transparency, inclusivity, collaboration, and innovation has been recognized by Great Place to Work, Canada’s Most Admired Corporate Cultures, and more.
Jobber has been named on the Globe and Mail’s Canada’s Top Growing Companies list, and Deloitte Canada’s Technology Fast 50™, Enterprise Fast 15, and Technology Fast 500™ lists.
Analytics sits within Jobber’s Strategy & Analytics department, acting as an internal consulting team and decision-support mechanism.
Analytics is a central function that exists to drive business outcomes across Jobber’s ecosystem.

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.