What is your mission?

• Lead end-to-end analytical projects by translating complex business questions into actionable insights and validated recommendations for senior stakeholders.
• Define analytical methodologies, assumptions, reporting standards, and sources of truth for business-critical marketing decisions.
• Design, develop, and govern marketing data models, semantic layers, KPI frameworks, channel mappings, and reporting classifications.
• Establish and maintain quality assurance, validation, reconciliation, and accuracy standards across all marketing analytics deliverables.
• Review and certify the accuracy of marketing-related analyses, reports, dashboards, and insights produced by cross-functional teams.
• Design and implement campaign measurement frameworks, incrementality testing, holdout testing, and year-over-year performance methodologies.
• Build and maintain executive-level Power BI dashboards, reports, and semantic models focused on lead generation, conversion, retention, campaign effectiveness, and ROI.
• Perform advanced analytics including audience segmentation, customer clustering, survey analysis, propensity modelling, and performance forecasting.
• Present findings, insights, and recommendations directly to executive stakeholders and confidently defend methodologies, assumptions, and conclusions.
• Partner with marketing leaders on initiatives such as lifecycle marketing, customer re-engagement strategies, referral programme analysis, and digital funnel optimisation.
• Support marketing analytics platform modernisation initiatives, including migration to Databricks lakehouse architecture and reporting transformation efforts.
• Define marketing technology data collection requirements and ensure reliable attribution, engagement tracking, and performance measurement capabilities.
• Maintain rigorous data governance, documentation, auditability, and reproducibility standards across all analytical assets.

Who are we looking for?

• Bachelor's degree in a relevant discipline such as Analytics, Data Science, Statistics, Mathematics, Business Intelligence, Computer Science, or a related field.
• Minimum 7+ years of experience in analytics, business intelligence, or data analytics roles.
• At least 3 years of dedicated marketing analytics experience supporting campaign measurement, attribution analysis, channel performance evaluation, and marketing spend optimisation.
• Expert-level proficiency in SQL for complex querying, data modelling, data validation, and warehouse analytics.
• Expert-level experience designing and building complete Power BI solutions, including semantic models, reporting layers, dashboards, and enterprise reporting structures.
• Advanced expertise in DAX, including filter context, context transition, and scalable measure development.
• Strong experience with marketing analytics methodologies, including attribution modelling, campaign measurement, incrementality testing, A/B testing, holdout testing, matchback analysis, and reporting governance.
• Proficiency in Python or R for advanced analytics, automation, modelling, and data analysis; PySpark experience is an advantage.
• Experience working with Databricks, Spark, or comparable cloud-based analytics platforms is highly preferred.
• Hands-on experience with Google Analytics 4 (GA4) and HubSpot, including data integration, attribution analysis, and reporting.
• Demonstrated ability to validate, review, and take full accountability for analyses and outputs generated using AI-assisted tools.
• Strong verbal and written communication skills with the ability to communicate effectively with executive-level stakeholders.
• Excellent analytical thinking, stakeholder management, problem-solving, and business partnering capabilities.
• Ability to work independently, manage ambiguous requirements, and deliver high-quality outputs in a fast-paced environment.
• Strong attention to detail, commitment to data accuracy, and dedication to maintaining governance and documentation standards.