Manager of Customer Analytics (Sales & Marketing)

Join Jobber as the Manager of Customer Analytics (Sales & Marketing). In this role, you will lead a team of analysts and partner closely with senior leaders across various departments. You will set the strategic direction for Sales and Marketing analytics, own the measurement infrastructure, and help advance Analytics 2.0 in practice. This position requires strong people leadership, hands-on technical depth, and deep Sales and Marketing domain expertise.

• Establecer la dirección técnica, metodológica y estratégica para la analítica de ventas y marketing de alto impacto.
• Definir y evolucionar el marco de medición de marketing de Jobber, asegurando que los métodos trabajen juntos como un sistema unificado para la toma de decisiones.
• Liderar la hoja de ruta de análisis a través de los pods de Marketing y Canales y Ventas y Asociaciones de Jobber, asegurando que el equipo se enfoque en las oportunidades de mayor impacto.
• 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
• 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
• 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
• 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
• 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
• 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 statistical judgment, including comfort with confidence intervals, effect size estimation, variance, seasonality, bias, model uncertainty, and balancing analytical rigour with pragmatic business decision-making
• 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
• 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
• Experience owning an analytics roadmap in a fast-moving environment with competing stakeholder needs and high-impact business decisions
• Strong strategic judgment, with the ability to shape priorities, influence senior leaders, and connect analytical work to company-level growth outcomes
• 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
• Proven experience as a people leader in analytics, with a strong track record of developing, coaching, and empowering high-performing analysts
• You communicate with clarity and confidence, especially when explaining uncertainty, trade-offs, and imperfect evidence to senior stakeholders
• You are a strong people leader who creates clarity, raises the bar, and helps analysts do the best work of their careers
• You are proactive and resourceful. You do not wait to be handed perfectly formed questions; you identify the highest-value problems, frame the trade-offs, and guide stakeholders toward better decisions
• You are comfortable making trade-offs visible. You know how to say yes to the highest-impact work while helping stakeholders understand what must be deprioritized
• You are a strategic analytics leader who can operate at multiple altitudes. You can zoom into technical details when needed, but you always connect the work back to business decisions and outcomes
• You are deeply curious about Sales and Marketing performance. You want to understand what drives acquisition, conversion, channel effectiveness, sales efficiency, partnership growth, and long-term customer value
• You are excited by Analytics 2.0. You see emerging tools and operating models as ways to redesign how analytics teams deliver trusted, scalable decision support, not just as productivity shortcuts
• You hold a high bar for analytical quality and measurement rigour, while staying pragmatic about what is useful, deployable, and decision-relevant in a real business environment