Job Title: Senior Data Analyst
Department: Data Analytics
Location: Abu Dhabi
Reports to: Head of Data Analytics
Job Type: Full-time
About ALFIT Insurance
At ALFIT Insurance, we are committed to delivering innovative and reliable insurance solutions across health, life, marine, and aviation sectors. As we build a future-ready organization, we're investing heavily in data-driven capabilities to drive insights and performance across all lines of business.
Position Overview
We are seeking a highly skilled Senior Data Analyst to design, implement, and optimize ALFIT Insurance's data infrastructure and analytics capabilities. Reporting to the Head of Data Analytics, you will play a key role in developing scalable ETL pipelines, creating robust data models, and delivering actionable insights across business functions. This role blends strong data engineering skills with a deep understanding of analytics, reporting, and regulatory compliance.
Key Responsibilities
Data Engineering & Infrastructure
Collaborate with IT and vendors to design scalable ETL pipelines across internal and third-party data sources (e.g., core systems, TPAs, reinsurers, CRMs).
Contribute to the development of cloud-based data warehouse/lakehouse architecture (e.g., Azure, AWS).
Build reusable data models, ensuring consistency across all business domains.
Ensure high-accuracy integration of policy, claims, coding, and financial data.
Business Analytics & Reporting
Support the development of operational dashboards and performance KPIs.
Automate recurring reports and provide ad-hoc data insights to business stakeholders.
Create clear and effective visualizations using tools such as Power BI or Tableau.
Assist in analytics frameworks related to pricing, efficiency, and risk metrics.
Data Governance & Compliance
Implement quality checks, validation rules, and exception handling within ETL workflows.
Maintain proper documentation on data lineage, definitions, and ownership.
Ensure compliance with UAE regulatory standards (DHA, IFU, CBUAE) and support audit readiness.
Data Science & Advanced Analytics
Prepare structured datasets for predictive modeling (e.g., lapse prediction, fraud detection).
Contribute to model prototyping, evaluation, and feature engineering.
Leverage internal and external datasets to enrich analytical outcomes.
Key Stakeholders
Internal: COO, Operations, IT, Sales, Legal, Compliance, Finance
External: Brokers, Clients, Reinsurers, Consultants, Local Authorities
Decision-Making Authority
Significant decisions are escalated to the Head of Data Analytics.
Financial authority aligned with ALFIT Management's established matrix.
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