Responsibilities

• Build and maintain the growth narratives and infrastructure, ensuring a robust technical base for all global and regional growth analysis.
• Lead further productionising of our Marketing Financials process, automating insights and providing deep-dives to further understand drivers of global and regional growth performance.
• Lead the development and deployment of advanced analytics consumption tools, including Lightdash reporting, Streamlit apps, and AI/agentic automation to provide deep-dives.
• Create Payback models and financial modelling to ensure we set the correct guardrails for our investments relative to the unit economics of our customers.
• Unlock frameworks for new growth areas, from how we can use promos to incentivise growth, how we think about investments across the marketing funnel and work with our Global and Regional leads to unlock these strategies.
• Balance technical rigor with speed to deliver meaningful data products that translate into business impact.
• Successfully collaborate with stakeholders who provide input to and consume output from your data products, specifically Finance, Paid & Organic Marketing, and Regional teams.
• Be a subject matter expert on technical infrastructure within the Marketing Analytics team, ensuring our systems can support future growth.
• Contribute to the overall analytics strategy, ensuring that tribe data and analytics is discoverable and leveraged.
• Act as a specialist within the team, identifying technical debt and building reusable data components that pave the way for a path toward Staff Analyst.

Requirements

• 4+ years of hands-on experience in a marketing analytics, data engineering, or insights role, ideally at the start of your technical lead journey.
• Strong proficiency of SQL and advanced Python is required.
• Experience with modern data stacks, including dbt, data warehousing (e.g. Snowflake) and visualization/semantic layers like Lightdash or Looker.
• Ability to understand the underlying business logic of marketing and financials to ensure technical products are meaningful and actionable.
• Strong ability to collaborate with cross-functional stakeholders (Finance, Marketing) to translate business needs into technical requirements.
• A focus on building systems and automated insights that drive measurable improvements in how the business consumes data.

Preferred

• Experience building data products, such as Streamlit apps, custom internal tools, or AI-integrated workflows.
• Familiarity with AI-native development workflows and tooling (e.g., Cursor, Claude, or GitHub Copilot) to accelerate the build of data products and automated agents.
• Proven ability to automate context around data, creating technical systems that effectively communicate the drivers of growth to a wide stakeholder set.