Found Description
Analytics Modelling
Responsibilities
- Explore, cleanse and transform large volumes of customer, product, channel and interaction data across platforms including GCP and Hadoop.
- Develop cross-sell/NBA analytics, including propensity/uplift models, segmentation, eligibility rules and prioritisation logic. Engineer features from CRM and behavioural signals (e.g., digital journeys, RM activities, campaign responses) to improve model performance and interpretability.
- Build and iterate prototypes using Python/SQL and relevant tooling; create decision-ready dashboards and monitoring views in Looker.
- Partner with CRM, product and Business stakeholders to define use cases, success metrics and test-and-learn approaches (e.g., A/B testing, champion–challenger).
- Communicate modelling approach, assumptions, limitations and outcomes clearly to technical and non-technical audiences. Translate insights into actionable recommendatio...