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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
- Growth Data Analyst responsible for marketing analytics for Invoice Simple and Joist at EverPro. Building data infrastructure and insights to optimize marketing performance and growth strategies.
Responsibilities
- Build and maintain a unified, reliable dataset for marketing performance metrics (spend, leads, subscriptions, revenue)
- Partner with Data Engineering to design and QA pipelines that connect ad platforms, CDP, and subscription data
- Define marketing taxonomy and naming conventions to ensure data consistency across tools
- Build self-serve dashboards for spend, ROI, and funnel performance using Looker or equivalent BI tools
- Develop frameworks for forecasting and budgeting marketing spend and expected ROI
- Support leadership with recurring marketing performance reviews and ad-hoc analyses
- Analyze acquisition efficiency, CAC trends, and channel mix performance
- Identify data-driven opportunities to improve marketing ROI
- Partner with Finance to reconcile spend and revenue and ensure data alignment
- Participate actively in growth strategy development and planning sessions
- Provide data-driven insights to shape strategic direction
- Partner with Growth Lead on strategic decision making
Requirements
- 4+ years of experience in marketing or growth analytics, preferably in a SaaS or consumer app environment
- Strong SQL skills and experience building datasets for performance reporting
- Experience working with marketing data (Google Ads, Meta, Apple Search Ads, etc.) and integrating with BI tools
- Proficiency in data visualization (Looker, Tableau, Power BI)
- Strong understanding of acquisition funnels, attribution, and unit economics (CAC, payback, LTV)
- Ability to translate messy, complex data into actionable insights and scalable tools
- Experience collaborating with cross-functional teams (Marketing, Finance, Data Engineering)
Benefits
- Flexibility to work where/how you want within your country of employment – in-office, remote, or hybrid
- Robust wellness benefits, including an annual wellness stipend
- Flexible and generous (FTO) time-off
- Employee Stock Purchase Program
- Registered Retirement Savings Plan (RRSP) with 4% company match
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