Responsibilities
- Lead strategic analytics initiatives focused on customer acquisition and partnerships.
- Serve as a trusted advisor to sales and partnerships teams, clarifying business challenges and identifying data-driven opportunities.
- Collaborate with marketing, product, revenue operations, data science, and BI teams to align analytics with broader growth goals.
- Conduct in-depth analysis across the customer acquisition funnel, including lead quality, conversion rates, sales performance, and partner effectiveness.
- Define, refine, and oversee key performance indicators for acquisition, such as funnel efficiency, sales productivity, and customer value.
- Translate complex business problems into structured analytical approaches and actionable insights.
- Assess the impact of sales strategies, partner programs, go-to-market campaigns, and operational changes.
- Provide context behind performance trends, explaining causes, implications, and recommended actions.
- Support decision-making across sales and partnerships functions with timely, relevant analytics.
- Develop a comprehensive understanding of how channels, segments, and sales motions drive acquisition outcomes.
- Identify ways to improve conversion rates, sales efficiency, partner performance, and overall acquisition effectiveness.
- Contribute to strategic planning, forecasting, target setting, and resource allocation using data insights.
- Work with cross-functional teams to improve reporting accuracy, metric consistency, and decision workflows.
- Evaluate long-term customer value and quality to guide sustainable growth strategies.
- Develop reusable analytical frameworks and tools for evaluating trade-offs in growth, efficiency, and complexity.
- Lead and support experimentation efforts, including A/B testing and pilot evaluations for acquisition initiatives.
- Apply advanced analytical methods such as scenario modeling, forecasting, segmentation, and predictive analytics.
- Collaborate with data science on modeling projects like lead scoring, propensity models, and automation workflows.
- Provide judgment in situations with limited data or imperfect measurement conditions to support directional decisions.
- Communicate analytical confidence, limitations, and next steps clearly to stakeholders.
- Build strong relationships with executives and cross-functional leaders through proactive engagement and insight sharing.
- Deliver clear, compelling narratives that connect data analysis to business decisions and outcomes.
- Present findings, dashboards, and decision frameworks in leadership and cross-team meetings.
- Ensure analytics outputs are tailored for executive audiences and support strategic discussions.
- Maintain alignment between analytical priorities and business objectives across sales and partnerships.
Benefits
- Comprehensive total compensation including fully paid health and mental wellness benefits, RRSP/TFSA/FHSA matching, and stock options.
- Access to a dedicated talent development team, coaching, and leadership programs for career growth.
- Opportunity to shape and grow within a large, competitive industry without a dominant leader.
- Work alongside a supportive, humble team deeply committed to customer success.
Compensation
Comprehensive total compensation including fully paid health and mental wellness benefits, RRSP/TFSA/FHSA matching, and stock options.
Work Arrangement
Remote — Edmonton, Toronto, Vancouver, Kitchener-Waterloo
Team
Work alongside a supportive, humble team deeply committed to customer success.
Responsibilities
- Lead strategic customer analytics and insight
- Act as a strategic thought partner and internal consultant to Sales and Partnerships stakeholders, helping them clarify business questions, evaluate opportunities, measure performance, and make better decisions.
- Collaborate closely with Lifecycle & Product Marketing, Revenue Operations, Strategy, Marketing Analytics, Product & Fintech Analytics, BI & Analytics Engineering, and Data Science to ensure Sales and Partnerships analytics is connected to broader acquisition strategy, data foundations, and customer outcomes.
- 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 after conversion.
- Help define, refine, and govern the KPIs that matter most for Acquisition, including funnel conversion, sales efficiency, partner-sourced growth, pipeline health, revenue quality, and downstream customer value.
- 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.
- Help leaders understand not just what happened, but why it happened, what it means, and what Jobber should do next.
- Support Sales and Partnerships decision-making
- Build a strong analytical understanding of Jobber’s Sales and Partnerships motions, including how different channels, segments, partners, and sales motions contribute to acquisition growth.
- Identify opportunities to improve conversion, productivity, prioritization, partner performance, and acquisition efficiency.
- Support strategic planning, forecasting, target setting, business cases, and resource allocation decisions across Sales and Partnerships.
- Partner with cross-functional teams and go-to-market leaders to improve reporting foundations, metric definitions, funnel visibility, and decision-making workflows.
- Analyze the quality and long-term value of acquired customers, helping Jobber optimize for durable growth rather than acquisition volume alone.
- Create reusable frameworks and decision tools that help teams evaluate trade-offs across growth, efficiency, customer quality, and operational complexity.
- Drive experimentation, impact evaluation, and advanced analytics
- Support experimentation and measurement strategies for acquisition initiatives, including A/B tests, pilots, sales plays, partner programs, and lifecycle or re-engagement motions.
- Apply advanced analytics techniques such as impact evaluation, scenario analysis, simulation modelling, forecasting, segmentation, and predictive analytics to inform strategic decisions.
- Partner with Data Science on more complex modelling opportunities, such as lead scoring, prioritization, sales automation, AI-assisted workflows, or partner and customer propensity models.
- Bring strong judgment to ambiguous measurement problems, including cases where perfect experimentation is not possible and directional decision support is still needed.
- Help stakeholders understand analytical confidence, limitations, trade-offs, and recommended next actions.
- Build trusted stakeholder partnerships and executive-ready communication
- Build trusted relationships with senior leaders and cross-functional stakeholders by understanding their goals, shaping analytical roadmaps, and proactively identifying opportunities.
- Communicate insights through clear, compelling, executive-ready narratives that connect analysis to decisions and business outcomes.
- Present findings, recommendations, dashboards, and decision frameworks in business reviews, leadership forums, and cross-functional meetings.
Benefits
- A total compensation package that includes an extended health benefits package with fully paid premiums for both body and mind, matching in RRSP, TFSA or FHSA, and stock options.
- A dedicated Talent Development team and access to coaching, learning, and leadership programs to help you grow your career, reach your goals, and unlock your full potential.
- A unique opportunity to build, grow, and leave your impact on a $400-billion industry that has no dominant player...yet.
- To work with a group of people who are humble, supportive, and give a sh*t about our customers.
