About the Opportunity
Job Type: Permanent
Application Deadline: 18 September 2026
Key Responsibilities
Business Insights and Decision Support
Translate business questions into explicit hypotheses and analytical approaches.
Analyse customer, commercial and operational data to identify trends, opportunities, risks and performance drivers.
Explain what happened, why it happened and what actions should be considered.
Create clear data stories, visualisations and presentations for business and senior stakeholders.
Support the measurement of business outcomes and value generated by analytics.
Advanced Analytics & Data Science
Conduct exploratory analysis and apply appropriate statistical techniques.
Contribute to segmentation, forecasting, propensity modelling, behavioural analysis and hypothesis testing.
Develop, test and validate statistical and machine-learning models using Python or equivalent tools.
Evaluate models using appropriate performance, interpretability and business-value measures.




Work with engineering and technology teams to support model operationalisation and monitoring.
Document methodologies, assumptions, limitations and findings.
Analytics Products, Visualisation and Automation
Define analytical requirements, KPIs, business rules and calculation logic for dashboards and analytical products.
Partner with Power BI developers to translate analytical requirements into effective reporting and visualisation solutions.
Review and validate dashboard outputs to ensure analytical accuracy and alignment with business objectives.
Support user acceptance testing and interpretation of analytical outputs.
Automate recurring analysis and manual processes to improve efficiency and scalability.
Maintain documentation covering analytical logic, data sources and assumptions.
Collaboration and Delivery
Work collaboratively across analytics, data science, engineering, visualisation and business teams.
Participate in Agile delivery processes, including sprint planning, demonst

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