- Apply statistical techniques to explore, validate, and analyse data, including extracting, transforming, and managing large datasets for profiling, reporting, and analytics;
- Design, develop, and maintain analytical tools, dashboards, and data models to support business intelligence and reporting needs;
- Support the development and monitoring of pricing models, ensuring appropriate application and ongoing performance evaluation;
- Conduct research, translate complex data findings into clear, actionable insights for stakeholders, including industry benchmarking and analytical support;
- Collaborate with internal teams to enhance data governance, quality, consistency, and usability across datasets.
Key Requirements
The skills and abilities required of the candidate are:
- Degree in Actuarial Science, Mathematics, Statistics, Data Science, or other quantitative disciplines;
- Strong analytical and problem-solving skills, with interest in data analysis and modelling;
- Proficient in data analysis and reporting techniques;
- Experience with tools such as SAS, R, Python, SQL, or VBA is an advantage;
- Good communication skills, with the ability to present and interpret complex information;
- Self-motivated and proactive, with a willingness to learn and take on new challenges;
- Able to work independently and manage multiple tasks in a fast-paced environment;
- Good stakeholder engagement skills, with the ability to translate data into insights.