Data Intelligence Manager

Stack

Responsibilities

• ▹Lead recurring and ad-hoc analyses: consumer behaviour, funnel performance, channel efficiency, journey optimisation opportunities, market trends, competitive benchmarking
• ▹Coordinate development and maintenance of advanced models (e.g. churn prediction, LTV forecasting, propensity scoring, recommendation algorithms) using AI and machine learning techniques
• ▹Develop and implement experimentation frameworks (A/B testing, multivariate tests) with activation teams
• ▹Scout and evaluate emerging analytics tools that use AI, translating capabilities into scalable, business-ready use cases
• ▹Synthesise findings into compelling presentations, reports and recommendations for senior leadership and marketing teams
• ▹Proactively identify and investigate growth levers or risks through exploratory analysis, including customer journey and channel performance improvements
• ▹Support strategic planning cycles with data-backed scenarios and forecasts
• ▹Partner with the Data Product Manager on prioritisation and productization of analytical features, including AI-powered capabilities
• ▹Collaborate with the Data Platform Manager on data improvements via DBS and D&A (e.g. enriched event data, cross-device identifiers, AI/ML-ready pipelines)
• ▹Integrate insights into campaigns, support cross-functional initiatives, and lead analytical governance, team development and guidelines (incl. self-service, rigour and capability building)
• ▹Serve as the go-to expert for growth-related questions, delivering both quick-win insights and longer-term strategic studies
• ▹Translate complex analytical findings into actionable, non-technical narratives for executive and marketing stakeholders

Requirements

• ▹Minimum 8+ years in data analytics, business intelligence, data science or intelligence leadership roles, with at least 3-5 years in a management position
• ▹Proven track record of translating analytics into growth impact in consumer-facing businesses (e.g. e-commerce, digital marketing, subscription services)
• ▹Extensive experience with growth/marketing analytics (attribution, cohort analysis, customer journey mapping, personalization, channel performance analysis)
• ▹Ability to enable evidence-based decision-making and foster a culture of analytical rigour, experimentation and continuous learning
• ▹Background leading experimentation programs and influencing business decisions through data
• ▹Prior work in matrixed organizations relying on centralized data infrastructure and martech stacks
• ▹Hands-on analytical experience combined with strong people and collaborator leadership experience
• ▹Extensive global exposure across diverse markets and regulatory environments, consumer-facing industries and growth optimization methodologies
• ▹Expertise in statistical analysis, hypothesis testing, predictive modelling, and proficiency in advanced SQL and Python/R (pandas, scikit-learn, statsmodels)
• ▹Experience with experimentation platforms, causal inference methods, data visualization (Power BI) and communicating insights to executive audiences; understanding of data flows and martech ecosystems
• ▹Familiarity with growth data concepts (multi-touch attribution, incrementality, RFM) and growth metrics (CAC, LTV, retention, funnels), knowledge of data privacy and strong awareness of AI/ML-driven analytics, with a relevant graduate degree

Soft skills

What we offer

• ▹Market-leading annual performance bonus (subject to eligibility)
• ▹Benefits vary by country: health plans, work-life balance initiatives, transportation support, flexible holiday plan with additional incentives
• ▹Internal advancement and development opportunities
• ▹Annual gross salary range: €73,256.80 - €91,571.00 (1SQ CLA level)

About the company

BAT is evolving into a global multi-category business, with the purpose of creating A Better Tomorrow by Building a Smokeless World.