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AIICO Insurance Plc
Banking + 2 more
Description
Requirements
- HND/B.Sc. in Statistics, Computer Science or any related discipline.
- Knowledge of Python is an added advantage
- PL300 certification is an added advantage
- Minimum of 2 - 4 years experience.
Responsibilities
- Analyze diverse insurance datasets (claims, policies, production, renewals, payments) to uncover patterns, risks, and opportunities. Conduct root-cause analysis on challenges such as early policy surrenders, delayed claims, or low persistency, while also performing customer sentiment analysis to identify satisfaction drivers.
- Build and maintain interactive Power BI dashboards and reports using DAX and Power Query/M Query, translating complex datasets into clear, actionable insights. Deliver periodic (monthly/quarterly) and ad-hoc reports to management with strong narratives behind the numbers.
- Support leadership with evidence-based recommendations that improve customer satisfaction, boost loyalty, reduce compliance risks, and enable data-driven decision-making across SBUs.
- Partner with Claims, Underwriting, Customer Service, and Finance teams to address business needs, design KPIs, and provide guidance on interpreting dashboards and reports.
- Uphold high data quality standards through validation and consistency checks, ensuring reliable insights that inform critical business actions. Continuously enhance reporting processes for greater clarity, efficiency, and business relevance.
- Champion data-driven culture by empowering teams to interpret and act on analytics, fostering an environment where decisions are guided by facts rather than guesswork.
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