Lead Analyst, Growth Marketing Analytics

Job title: Lead Analyst, Growth Marketing Analytics

About the Role Lead Analyst to join Wise's Growth Marketing Analytics team. This technically-driven role scales the development, execution, and evolution of global and regional growth narratives, building automated data foundations to enable Marketing and Finance to make smarter investment decisions. You will own the technical infrastructure behind identifying opportunities and deploy scalable data products and tools to accelerate growth.

What You'll Do

• Build and maintain growth narratives and the infrastructure for global and regional growth analysis.
• Productionise Marketing Financials processes, automate insights, and provide deep-dives to understand drivers of growth.
• Develop and deploy advanced analytics consumption tools, including Lightdash reporting, Streamlit apps, and AI/agentic automation.
• Create Payback models and financial modeling to guardrail investments relative to unit economics.
• Unlock frameworks for new growth areas and collaborate with Global and Regional leads to implement strategies.
• Balance technical rigor with speed to deliver data products that translate into business impact.
• Lead as a technical SME within Marketing Analytics, ensuring systems can support future growth and making analytics discoverable.
• Identify technical debt and build reusable data components that pave the way toward Staff Analyst.

What We're Looking For

• 4+ years of hands-on experience in marketing analytics, data engineering, or insights roles.
• Strong proficiency in SQL and Python.
• Experience with modern data stacks (dbt, Snowflake) and visualization/semantic layers (Lightdash or Looker).
• Ability to understand the underlying business logic of marketing and financials to ensure technical products are meaningful and actionable.
• Strong collaboration with cross-functional stakeholders (Finance, Marketing).
• Focus on building systems and automated insights that drive measurable improvements in data consumption.

Nice to Have

• Experience building data products such as Streamlit apps, internal tools, or AI-integrated workflows.
• Familiarity with AI-native development workflows and tooling (Cursor, Claude, or GitHub Copilot).
• Proven ability to automate context around data, creating technical systems that communicate growth drivers to a wide range of stakeholders.