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Closed for applications
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Jobs in Nairobi, Jobs in Kampala, Jobs in Lagos, Jobs in Engineer, Jobs in Bauchi, Jobs in GombeProfession (Banking, microfinance, insurance)
Industry
Agriculture, fishing, forestry,Automotive,Banking, microfinance, insurance,Computers, software development and services,Construction, renovation, maintenance,Consulting, business support, auditing,Education, academic,Electronics,Energy, utilities, environment,Engineering, architecture,Finance & FinTech,Financial Services,Fitness, well-being and lifestyle,Governmental,Health care, medical,Housekeeping, maintenance,Human resources, talent development, recruiting,Manufacturing,Marketing, advertising,Non-profit, social work,Outsourcing, leasing,Restaurant, hospitality, travel,Retail, wholesale, FMCG,Telecommunications,Transportation, logistics, storage,
Seniority (Banking, microfinance, insurance)
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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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