Source description
About the role
- Anomaly detection to identify unusual patterns, emerging trends, potential data issues, or unexpected customer behaviour. - Predictive analytics and driver analysis to understand which factors influence customer actions and outcomes. - Developing models to identify product take ups, along with predicting the optimal timing for engagement. - Customer segmentation and profiling to uncover distinct customer groups, behaviours, needs, and opportunities for targeted interventions. - Performing exploratory data analysis to identify new business opportunities and areas for performance improvement. - Translating analytical findings into clear insights and recommendations for business stakeholders. - Working closely with business, product, and data teams to frame problems and measure outcomes. Key skills required include: - Solid SQL and data manipulation skills. must - Experience with statistical analysis, predictive modelling, and machine learning techniques. - Experience working with large customer datasets and delivering business-focused insights. must - Ability to communicate analytical findings effectively to both technical and non-technical stakeholders. must .
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