Job Summary

The role will focus on applying analytical techniques to identify opportunities, risks, and customer behaviours, translating complex data into clear business recommendations. 

Key Responsibilities

Examples of the types of work include:

• 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.

Skill Requirements

Key skills required include:

• Strong 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

The ideal candidate will be comfortable operating across the full analytics lifecycle, from problem definition and data exploration through to insight generation and recommendation of actions.

Other Requirements