Data Intelligence Manager

05 ago - Trieste
Experteer Italy

ph3Overview /h3pIn this role you drive data-driven decision making within the Global Consumer Experience function.
You lead AI-powered analytics to optimise channel performance and consumer experiences, translating data from martech tools into actionable insights.
You supervise analytical capabilities, manage models and experiments, and partner with data platforms to unlock new analytical possibilities.
You will craft compelling narratives for senior stakeholders and shape growth strategies through rigorous, scalable analytics.
/ph3Key Responsibilities /h3ulliLead recurring and ad-hoc analyses on consumer behavior, funnel performance, channel efficiency, journey opportunities, market trends, and competitive benchmarks /liliCoordinate development and maintenance of advanced models (e.g., churn, LTV, propensity scoring, recommendations) using AI/ML techniques /liliDevelop and implement experimentation frameworks (A/B and multivariate) with activation teams /liliScout and evaluate emerging analytics tools with_AI capabilities and translate into scalable use cases /liliSynthesize findings into presentations and recommendations for senior leadership and marketing peers /liliIdentify growth levers and risks through exploratory analysis affecting customer journey and channel insights /liliSupport strategic planning with data-backed scenarios and forecasts /liliCollaborate with the Data Product Manager on prioritization and productization of analytical features, including AI capabilities /liliWork with Data Platform Manager on data improvements via DBS and DA to enable new analytics (enriched event data, cross-device IDs, ML-ready pipelines) /liliIntegrate insights into campaigns, lead analytical governance,



and build team capability and self-service guidelines /liliServe as go-to expert for growth questions, balancing depth of analysis with speed for quick-win and long-term studies /liliTranslate complex findings into actionable, non-technical narratives for executives and marketing stakeholders /li /ulh3Qualifications /h3ulli8+ years in data analytics, BI, data science, or intelligence leadership /lili3–5+ years in a management role /liliProven ability to translate analytics into growth impact in consumer-facing settings /liliExtensive experience with growth/marketing analytics (attribution, cohort analysis, journey mapping, personalization, channel analysis) /liliStrong ability to enable evidence-based decisions and foster analytical rigour, experimentation, and learning /liliExperience leading experimentation programs and influencing business decisions /liliExperience in matrixed organizations with centralized data infrastructure and martech stacks /liliHands?on analytics experience plus people leadership /liliGlobal exposure across diverse markets and regulatory environments in consumer?facing industries /liliExpertise in statistical analysis, hypothesis testing, predictive modelling, and tools/languages (advanced SQL, Python/R) /liliExperience with experimentation platforms, causal inference, data visualization (Power BI), and communicating insights to executives /liliKnowledge of data flows, martech ecosystems, and growth data concepts (multi?touch attribution, incrementality, RFM); awareness of data privacy; graduate degree /li /ulh3Benefits /h3ulliannual performance premio /lilihealth plans /liliwork-life balance initiatives /lilitransportation support /liliflexible holiday plan /lilimeal vouchers /li /ul /p #J-*****-Ljbffr

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