Responsibilities
Se sta pensando di inviare una candidatura, si ricordi di premere il pulsante apposito dopo aver letto l'intera descrizione.

-

- 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 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, statsmodels).

- 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. xysqume

- Familiarity with growth data concepts (multi-touch attribution, incremental, 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.

#J-18808-Ljbffr

📌 Data Intelligence Manager (Trieste)
🏢 Altro
📍 Trieste