Senior Business Intelligence Analyst

Income Insurance is undergoing a strategic transformation across its business and technology landscape, with Business Intelligence playing a critical role in translating data into timely and actionable insights to support business growth, operational efficiency and informed decision-making.

Responsibilities:

• Partner with business stakeholders to understand objectives, KPIs and analytical requirements and translate them into effective BI solutions
• Lead and own end-to-end delivery of BI initiatives across multiple BI workstreams, encompassing prioritization, dependency management, requirements definition, implementation and continuous enhancement to ensure timely outcomes aligned with business objectives
• Design, develop and maintain dashboards and reports to support enterprise reporting and analysis needs
• Analyse and interpret complex datasets to generate actionable insights and support data-driven decision-making
• Create clear, intuitive data visualisations using Tableau to enable effective data storytelling
• Enable and promote self-service BI by delivering trusted data sources and well-designed analytical products
• Provide guidance to stakeholders on BI tools, metrics, and best practices
• Collaborate with data engineers, data office, and governance teams to ensure data quality, consistency, and lineage
• Drive BI governance activities, including access management, usage monitoring and documentation
• Drive continuous improvement of BI standards, platforms and processes.

Qualifications:

• Degree in Maths / Statistics / Analytics / Technology / Business or a relevant discipline
• Minimum 7 years’ working experience in business intelligence or analytics role
• Advanced proficiency in SQL; experience with Python or similar technologies is an advantage
• Experience working with data warehouses and cloud platforms (AWS preferred)
• Strong expertise in Tableau and other modern BI tools, with solid data visualization and storytelling skills
• Proven experience applying analytics in insurance, banking, financial services or multi-national corporations with large enterprise data environments
• Analytical, detail-oriented, ability to manage timelines and adapt to business needs
• Strong communication and stakeholder management skills, with ability to work effectively across business and technology teams
• Experience leading multiple analytics initiatives or workstreams
• Demonstrated ability to influence stakeholders on priorities and KPI definitions