Key Responsibilities
- Perform exploratory and advanced data analysis to identify trends, patterns, and anomalies in customer behaviour, digital engagement, and agency performance.
- Apply advanced statistical techniques and predictive modelling to solve business challenges and generate forecasts (e.g. customer lifetime value, churn risk, cross-sell/up-sell opportunities, and loss ratio predictions).
- Design and develop insightful dashboards, reports, and visualisations using Power BI, Tableau, or similar tools.
- Create compelling presentations to clearly communicate insights and recommendations to stakeholders and senior leadership.
- Collaborate closely with business, agency, customer, and IT teams to understand analytical needs and deliver high-impact solutions.
- Act as a trusted advisor, challenging assumptions and influencing strategic decisions with data-driven insights.
- Support digital initiatives by analysing UX data, conversion funnels, and A/B test results to drive continuous improvement.
Qualifications & Experience
- 5-7 years of relevant experience as a Data Analyst, preferably in insurance or financial services.
- Experience in insurance agency or distribution reporting is a strong advantage.
- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
- Strong proficiency in Python and SQL for data analysis and manipulation.
- Solid knowledge of statistical analysis techniques and predictive modelling.
- Hands-on experience with data visualisation tools (Power BI or Tableau).
- Good understanding of insurance domain metrics (loss ratio, combined ratio, premiums, claims frequency/severity, retention, acquisition cost, etc.).
- Excellent communication and presentation skills, with the ability to translate complex technical insights into clear business recommendations.
- Strong problem-solving mindset, attention to detail, and ability to thrive in a fast-paced environment.
- Proactive, collaborative, and self-motivated with a passion for driving innovation through data.
