KPI Monitoring & Analysis:
- Support Business Insight Business Partners by tracking and analysing key performance indicators identifying trends and providing insights into underlying business drivers.
Deep Dive Analysis:
- Conduct detailed investigations into specific business topics identifying root causes of issues and opportunities for optimisation.
Data Extraction & Manipulation:
- Gather data from multiple sources clean transform and analyse it to generate meaningful insights.
Stakeholder Support:
- Assist in preparing data-driven presentations and reports for senior stakeholders ensuring clarity and actionable insights.
Collaboration with BI Developers:
- Work closely with BI Developers to ensure that data models and reporting solutions align with business needs.
Ad Hoc Analysis & Problem Solving:
- Provide rapid analytical support for urgent business questions and ad hoc projects.
Data Quality & Governance:
- Ensure all analyses are based on high-quality data adhering to governance and compliance standards.
Requirements
Essential Skills
- Experience in a data analysis business intelligence or business insight role.
- Strong analytical and problem-solving skills with the ability to interpret complex data.
- Proficiency in SQL for data extraction and manipulation.
- Experience with data visualisation tools such as Power BI Tableau or similar.
- Strong Excel skills for data analysis and reporting.
- Ability to work with large datasets and draw meaningful insights.
- Excellent communication skills with the ability to present data-driven insights clearly.
- Commercial awareness and understanding of key business drivers.
Desirable Skills
- Experience within the insurance financial services.
- Experience working in an agile and fast-paced environment.
- Familiarity with statistical analysis techniques.
- Knowledge of Python or R for advanced analytics.
- Experience working with cloud-based data platforms such as Azure AWS or Google Cloud.
Experience in a data analysis, business intelligence, or business insight role. Strong analytical and problem-solving skills with the ability to interpret complex data. Proficiency in SQL for data extraction and manipulation. Experience with data visualisation tools such as Power BI, Tableau, or similar. Strong Excel skills for data analysis and reporting. Ability to work with large datasets and draw meaningful insights. Excellent communication skills, with the ability to present data-driven insights clearly. Commercial awareness and understanding of key business drivers.