Marketing Analytics Manager, Cleo AI

• 5+ years in Analytics/Data Science, with a focus on Marketing Analytics/Science or a related field
• 1+ years experience with line management, including developing and mentoring analysts or data scientists, setting clear objectives, and effectively prioritising team workloads
• Strong background/understanding of marketing measurement methods, including Marketing Mix Modelling (MMM), Predictive LTV modelling, and Geo-Lift/Conversion Lift Studies/Brand Lift Studies
• Excellent knowledge of both Python & SQL
• Experience developing insightful dashboards and visualisations (e.g., Looker, Tableau, Power BI, Mode) to clearly communicate analytical findings and support strategic decision-making
• Demonstrated strength in translating stakeholder needs into actionable recommendations, with results surfaced through write-ups, tools or dashboards to support decision-making
• A proactive approach to learning new technologies and stepping outside your comfort zone, whether building data pipelines, leveraging LLMs, or integrating new data sources

Desirable

• As part of the Growth and Marketing leadership team at Cleo, you'll work closely with managers across brand, performance, product marketing, lifecycle, and data
• You'll play a critical role in shaping our data-led strategy for efficiently acquiring users. Collaborating closely with growth marketing, brand marketing, and executive stakeholders, you'll define strategies to scale growth effectively and solidify Cleo’s position as a category leader in financial empowerment
• In addition to directly managing a team of senior marketing analysts, your role extends beyond people management. You'll remain hands-on, delivering impactful insights and building models that guide decisions around channel investment, creative strategy, campaign planning, and product-led growth initiatives
• Partner with Marketing leadership to shape long-term marketing strategies using data to evaluate performance, forecast outcomes, and influence channel and budget decisions
• Support the development of scalable marketing measurement frameworks (e.g. media mix modeling, CPA forecasting, LTV modelling, Lift Testing) that connect marketing performance to user and business outcomes
• Drive the adoption of marketing measurement best practices across the team, aligning acquisition metrics with longer term business metrics such as LTV & Revenue
• Manage and develop a team of 3 senior analysts, ensuring clear prioritisation, impactful delivery, and continued growth
• Oversee the marketing analytics roadmap and workload, ensuring the team is focused on the highest-leverage initiatives
• Foster a strong analytics culture that balances speed with rigour, and drives curiosity, experimentation, and commercial thinking
• Collaborating with the data science teams to develop, validate, and operationalise Marketing Mix Models (MMM) that inform budget allocation and channel strategy
• Leading the design, implementation, and interpretation of conversion lift tests and incrementality studies across both digital and offline marketing channels, translating results into actionable insights for campaign planning
• Applying and evaluating our attribution model to understand channel contribution, cannibalisation, and guide data-driven investment decisions
• Deliver high-impact analysis across performance, organic, and brand marketing initiatives
• Investigate trends in key metrics (e.g. CPA, ROAS, LTV) to surface actionable insights and optimise investments
• Build dashboards and reporting infrastructure that unlock improved visibility across acquisition channels
• Supporting the measurement of OOH and brand campaigns, applying best practices to assess their impact across key business metrics and brand metrics
• Work closely with Analytics Engineering to prioritise and contribute to data model improvements that enable more accurate and scalable insights
• Serve as a strategic thought partner to Growth Marketing, Organic, Brand and CRM leads, helping to define what/how we test, learn, and scale