The Data Analyst role balances technical modeling skills with business-facing insight delivery.
It requires designing and optimising BI models and SQL queries, while also working closely with executives and business units to translate requirements into scalable reporting solutions.
The complexity lies in ensuring data is not only accurate and well-modeled but also presented in a way that drives decisions, making the role central to the organisation's goal of embedding a data-driven culture.
Responsibilities
Data Analysis & Insight Generation:Support with analysing 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.
Reporting & Visualization:Support with building and maintaining 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.
Strategic Business Impact:Support leadership with evidence-based recommendations that improve customer satisfaction, boost loyalty, reduce compliance risks, and enable data-driven decision-making across SBUs.
Collaboration & Business Engagement:Partner with Claims, Underwriting, Customer Service, and Finance teams to address business needs, design KPIs, and provide guidance on interpreting dashboards and reports.
Quality & Assurance: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.
Culture Building: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.
Requirements
HND / B.Sc Degree in Computer Science or any related discipline.