Data Intelligence Manager

Minor Hotels Europe and Americas

Data Intelligence Manager at British American Tobacco optimizing consumer experiences through AI-driven insights and analytics. Leading a team to enhance strategic marketing initiatives and drive growth.

Posted 6/20/2026full-timeTrieste • 🇮🇹 ItalySeniorLead💰 €73,256 - €91,571 per yearWebsite

Tech Stack

Tools & technologies

PandasPythonScikit-LearnSQL

About the role

Key responsibilities & impact

Lead the creation of 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), employing AI and machine learning techniques.
Develop and implement experimentation frameworks (A/B testing, multivariate tests) in collaboration with activation teams.
Scout and evaluate emerging analytics tools that use artificial intelligence, translating capabilities into scalable, business-ready use cases.
Synthesise findings into compelling presentations, reports, and recommendations for senior leadership and marketing peers/teams.
Proactively identify and investigate growth levers or risks through exploratory analysis, including opportunities to improve the customer journey and channel performance insights.
Support strategic planning cycles with data-backed scenarios and forecasts.
Partner tightly 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) that unlock new analytical possibilities (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, balancing depth of analysis with speed to deliver both quick-win insights and longer-term strategic studies.
Translate complex analytical findings into actionable, non-technical narratives for executive and marketing stakeholders.

Requirements

What you’ll need

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 to translate 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 with reliance 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, with deep experience in consumer-facing industries and growth optimization methodologies
Expertise in statistical analysis, hypothesis testing, predictive modelling, and proficiency in tools/languages (advanced SQL, Python/R – pandas, scikit-learn, stats models)
Experience with experimentation platforms, causal inference methods, data visualization (Power BI), and communicating insights to executive audiences; proven understanding of data flows and martech ecosystems
Familiarity with growth data concepts (multi-touch attribution, incrementally, RFM), deep expertise in growth metrics (CAC, LTV, retention, funnels), knowledge of data privacy, and strong awareness of AI/ML -driven analytics with a relevant graduate degree.

Benefits

Comp & perks

Meal Voucher/ Canteen as per location
Private Pension
Life & Health Insurance
Yearly bonus based on the ABS
Family support policy
Office perks
Flexible policy as per agreed Second Level agreement.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data analyticsbusiness intelligencedata sciencegrowth analyticsstatistical analysishypothesis testingpredictive modellingA/B testingmultivariate testscustomer journey mapping

Soft Skills

leadershipcollaborationanalytical rigourevidence-based decision-makingcommunicationstrategic planningproblem-solvinginfluencingcontinuous learningpresentation skills

Certifications

graduate degree