Jobber
Manager, Customer Analytics (Sales & Marketing)
Toronto
Sponsorship not specifiedDetected 12 days ago
PythonData StructuresCode ReviewSQLSnowflakeRedshiftRESTMachine LearningdbtData EngineeringData ScienceData VisualizationStatisticsA/B TestingStakeholder ManagementSEMGoogle AdsMarketing AnalyticsCRMPerformance MarketingForecastingLeadershipCommunicationCollaboration
About the role
- In this role, you will set the technical, methodological, and strategic direction for high-impact Sales and Marketing analytics.
- This role requires a leader who combines strong people leadership, hands-on technical depth, and deep Sales and Marketing domain expertise.
- Team Leadership & Analytics Operating Model
Responsibilities
- You will build trusted relationships with senior leaders, raise the bar for analytical quality, and develop analysts who can translate rigorous measurement into better growth decisions.
- Build a culture of analytical excellence, high accountability, curiosity, strong QA, documentation, peer review, business ownership, and continuous improvement.
- 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.
- Set standards for how analysts select, build, quality-assure, and interpret advanced measurement methods, including when to use MMM, MTA, incrementality testing, causal inference, forecasting, or simpler diagnostic approaches.
- Analytics 2.0 & AI-Powered Decision Support
- 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.
- Build frameworks, dashboards, models, and decision-support tools that help leaders monitor performance, diagnose issues, and make better planning, resourcing, and prioritization decisions.
- 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
- Sales & Marketing Analytics Expertise
- 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.
- 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.
- Strong proficiency in Python or R for modelling, automation, statistical analysis, and productionized analytics workflows
- experience with MMM libraries or statistical modelling frameworks such as Robyn, Meridian, PyMC-Marketing, Bayesian modelling frameworks, or equivalent tools is a strong asset.
- Experience with modern data stacks and BI tools such as dbt, Snowflake, Redshift, Looker, Tableau, or similar platforms, with a strong ability to build scalable, trusted reporting and decision-support assets.
- 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.
- Exceptional communication and storytelling skills, with the ability to translate complex analysis, uncertainty, and trade-offs into clear executive-ready narratives.
- 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.
- 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, with the judgment to evaluate, challenge, and improve vendor or platform-reported outputs.
- Technical & Methodological Skills
- 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 such as difference-in-differences, synthetic control, propensity score matching, or regression discontinuity.
- 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.
Company info
- Analytics sits within Jobber's Strategy & Analytics department, Jobber's internal consulting team and decision-support mechanism that connects data and business insight with the rest of the organization.
- Analytics is a central function that exists to drive business outcomes across Jobber's ecosystem.
This listing is sourced directly from Jobber's careers page and normalized into a canonical job model.