Data Intelligence Manager

31 lug - Friuli-Venezia Giulia
Jobtailor

Responsibilities
- 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 productisation 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
- Minimum 8+ years in data analytics, business intelligence, data science, or intellige

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