Responsibilities

• Growth Driver Explanation: Build and maintain the reporting, tooling and infrastructure to explain marketing growth drivers, ensuring the wider business clearly understands the mechanics and the why behind our performance.
• Automating Insights: Lead the further productionising of our Marketing Financials process, shifting the focus towards automating driver analysis and providing deep-dives that uncover the core reasons behind growth performance.
• Opportunity Identification & Enablement: Proactively identify key opportunities and gaps within the Marketing Financials process and drive these into execution with the wider Marketing Analytics-team and stakeholders.
• Advanced Analytics Tools: Lead the development and deployment of advanced analytics consumption tools, including Lightdash reporting, Streamlit apps, and AI/agentic automation to provide clear, accessible explanations of growth drivers. Play a constructive role in streamlining usage of these tools across the wider Marketing Analytics team.
• Impact-Driven Delivery: Balance technical rigor with speed to deliver meaningful data products that translate complex growth drivers into clear business impact.
• Successfully collaborate with stakeholders across Marketing, Analytics and Regional teams, acting as the crucial bridge between identifying data-driven opportunities and executing them within the wider marketing context.
• Be a subject matter expert on technical infrastructure within the Marketing Analytics team, ensuring our systems are optimized for driver analysis and explanation rather than just standard reporting.
• Contribute to the overall analytics strategy, ensuring that tribe data and analytics are discoverable, leveraged, and heavily focused on actionable understanding.
• Effective project management and communication skills, with the ability to inform multiple horizontal initiatives in parallel, sequence them by impact, and keep the right stakeholders aligned from identification through to execution.
• Skilled at defining and improving ways of working across the wider Marketing Analytics team, establishing the practices and prioritisation frameworks that help multiple pillars collaborate efficiently and focus on the highest-impact work.

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 in 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.
• Proven competencies in identifying analytical opportunities within financial/marketing processes and reporting on them effectively.
• Strong ability to understand the underlying mechanics of marketing to ensure technical products are meaningful and focused on explaining growth drivers.
• A focus on building systems and automated insights that drive measurable improvements in how the business understands and acts upon data.
• Experience and interest in project management, ways of working improvements and enabling wider teams in efficient collaboration.

Preferred

• Experience building data products, such as Streamlit apps, custom internal tools such as JIRA, 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 and explain the drivers of growth to a wide stakeholder set.