Senior Customer Analytics Manager (Sales & Partnerships)

Jobber•Toronto, ON

41d•CA$151,200 - CA$204,500•Hybrid

About The Position

Jobber is seeking a Senior Customer Analytics Manager (Sales & Partnerships) to join their Analytics team. This role is crucial for helping small home service businesses succeed by leveraging technology to manage their operations. Jobber's culture emphasizes transparency, inclusivity, collaboration, and innovation, recognized by various prestigious awards. The Analytics team operates within the Strategy & Analytics department, serving as an internal consulting group that bridges data insights with business strategy across the organization. The Senior Customer Analytics Manager will be a key analytics partner for Jobber’s Acquisition domain, focusing on Sales and Partnerships, and will work closely with leaders across various departments to enhance customer acquisition strategies. This is an individual contributor leadership role focused on influencing, owning a business domain, shaping the analytical roadmap, and mentoring analysts, rather than direct people management.

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 sales, partnerships, acquisition, revenue, or go-to-market analytics.
A deep understanding of acquisition funnels, sales motions, pipeline metrics, conversion dynamics, channel performance, revenue quality, and SaaS business models.
Proficiency with BI and data visualization tools such as Tableau, with a focus on clear, 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.
Intellectual curiosity, creativity, and adaptability in solving open-ended business problems in a fast-moving environment.
Demonstrated ability to mentor analysts, lead through influence, and act as a senior IC owner for a business domain.
Proven ability to thrive under pressure, navigate ambiguity, and bring structure to complex or competing demands.
Experience with Python, dbt, Snowflake, Salesforce, 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.

Nice To Haves

Experience with Python, dbt, Snowflake, Salesforce, data modelling, and productionized analytics workflows.

Responsibilities

Lead strategic customer analytics and insight generation.
Act as a strategic thought partner and internal consultant to Sales and Partnerships stakeholders.
Collaborate with cross-functional teams (Lifecycle & Product Marketing, Revenue Operations, Strategy, Marketing Analytics, Product & Fintech Analytics, BI & Analytics Engineering, Data Science) to align analytics with acquisition strategy.
Lead deep-dive analyses across the acquisition funnel, including lead quality, pipeline creation, sales conversion, win/loss dynamics, sales productivity, re-engagement, channel performance, partner performance, and customer quality post-conversion.
Define, refine, and govern key performance indicators (KPIs) for Acquisition.
Translate complex business questions into clear analytical plans, decision frameworks, and actionable recommendations.
Evaluate the impact of sales plays, partner programs, channel initiatives, lead routing strategies, go-to-market motions, campaigns, and operational changes.
Provide insights into 'what happened,' 'why it happened,' 'what it means,' and 'what Jobber should do next.'
Build a strong analytical understanding of Jobber’s Sales and Partnerships motions.
Identify opportunities to improve conversion, productivity, prioritization, partner performance, and acquisition efficiency.
Support strategic planning, forecasting, target setting, business cases, and resource allocation decisions.
Partner with cross-functional teams to improve reporting foundations, metric definitions, funnel visibility, and decision-making workflows.
Analyze the quality and long-term value of acquired customers to optimize for durable growth.
Create reusable frameworks and decision tools for evaluating trade-offs.
Support experimentation and measurement strategies for acquisition initiatives.
Apply advanced analytics techniques (impact evaluation, scenario analysis, simulation modelling, forecasting, segmentation, predictive analytics).
Partner with Data Science on complex modeling opportunities.
Provide directional decision support where perfect experimentation is not possible.
Communicate analytical confidence, limitations, trade-offs, and recommended actions to stakeholders.
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 and leadership forums.
Make trade-offs visible when stakeholder demand exceeds capacity.
Collaborate across Analytics & Insights teams to ensure seamless integration.
Identify recurring analytics work for automation, standardization, or self-serve capabilities.
Partner with BI & Analytics Engineering to improve data foundations, reporting infrastructure, and self-serve capabilities.
Use AI-assisted analytics workflows responsibly.
Promote high-quality analytics practices (metric definitions, reproducible workflows, QA, documentation, peer review, data quality stewardship).
Build scalable assets, dashboards, models, and analytical frameworks.
Ensure insights are timely, trusted, actionable, and connected to business outcomes.
Lead the Sales and Partnerships analytics domain 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.
Contribute to team-wide best practices.
Operate as a senior IC who can independently own ambiguous, high-impact work while helping others grow.