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Lead Data Analyst
LinkedIn Recruiter Post
RBC seeks a Lead Data Analyst to drive enterprise data platform initiatives, acting as a technical lead for data flow, AI/ML, and analytics.
About the role
- Senior Customer Analytics Manager driving impactful business decisions through data analysis at Jobber. Partnering with cross-functional teams to enhance customer understanding and optimize business performance.
Responsibilities
- Act as a strategic thought partner and internal consultant to stakeholders across one or more high-priority Customer Analytics domains, helping them clarify business questions, evaluate opportunities, measure performance, and make better decisions.
- Collaborate closely with teams across Jobber, including Revenue Operations, Strategy, Marketing Analytics, Product & Fintech Analytics, BI & Analytics Engineering, Data Science, and relevant go-to-market or customer-facing teams.
- Lead deep-dive analyses across the customer journey, including acquisition, onboarding, engagement, product adoption, monetization, retention, expansion, customer quality, and long-term customer value.
- Help define, refine, and govern the KPIs that matter most for the assigned domain or domains, including performance, efficiency, customer quality, customer outcomes, and downstream business impact.
- Translate complex business questions into clear analytical plans, decision frameworks, and actionable recommendations.
- Evaluate the impact of strategic initiatives, operational changes, go-to-market motions, customer programs, product or lifecycle initiatives, and other business priorities.
- Help leaders understand not just what happened, but why it happened, what it means, and what Jobber should do next.
- Build a strong analytical understanding of the assigned domain or domains, including how different customer segments, behaviours, channels, products, teams, or motions contribute to business performance.
- Identify opportunities to improve growth, efficiency, prioritization, customer experience, customer quality, and long-term value.
- Support strategic planning, forecasting, target setting, business cases, and resource allocation decisions.
- Analyze the quality and long-term value of different customer groups, helping Jobber optimize for durable growth rather than short-term volume alone.
- Create reusable frameworks and decision tools that help teams evaluate trade-offs across growth, efficiency, customer outcomes, and operational complexity.
- Support experimentation and measurement strategies for strategic initiatives, including A/B tests, pilots, campaigns, lifecycle programs, product initiatives, operational changes, and customer-facing programs.
- 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 customer scoring, prioritization, churn or expansion propensity, automation, AI-assisted workflows, or other predictive systems.
- 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 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.
- Make trade-offs visible when stakeholder demand exceeds capacity, helping teams prioritize the work that will have the greatest business impact.
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, marketplace, fintech, revenue, growth, product, customer, or go-to-market analytics.
- A deep understanding of SaaS business models and customer journey metrics, such as funnel performance, conversion, activation, engagement, retention, expansion, monetization, customer quality, and customer value.
- 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 operate as a senior individual contributor owning one or more business domains.
- Proven ability to thrive under pressure, navigate ambiguity, and bring structure to complex or competing demands.
- Experience with Python, dbt, Snowflake, Salesforce or other CRM/customer systems, data modelling, and productionized analytics workflows is a strong asset.
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 including career coaching and opportunities for career development
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