David Goez

Leveraged SQL and analytics tools to analyze sales and operational data across motorcycle sales, rentals, and spare parts, identifying revenue trends and growth opportunities.
Developed and delivered Power BI and Excel dashboards to track KPIs including cash flow, payment cycles, and workshop performance metrics.
Implemented process improvements that reduced service turnaround time and generated over AED 150,000 in revenue.
Improved end-to-end invoicing and financial data tracking to ensure accurate records and support data-driven operational decisions.
Produced stakeholder reports and business analysis summaries to support strategic planning.
Collaborated with management to communicate key findings.

Leveraged SQL and analytics tools to analyze sales and operational data across motorcycle sales, rentals, and spare parts — identifying revenue trends and growth opportunities.Developed and delivered Power BI and Excel dashboards to track KPIs including cash flow, payment cycles, and workshop performance metrics.Implemented process improvements that reduced service turnaround time and generated over AED 150,000 in revenue.Improved end-to-end invoicing and financial data tracking to ensure accurate records and support data-driven operational decisions.Produced stakeholder reports and business analysis summaries to support strategic planning; collaborated with management to communicate key findings.

Delivered data-driven implementation of a cancer insurance product with Cardiff in under 2 months via a scalable tenant-based integration model.
Extracted, cleansed, and analyzed 10M+ customer records using SQL, Python, and SAS to apply business rules and identify high-value customer segments.
Developed and implemented a Python and SAS payment-method identification program to securely transmit customer data to insurers, ensuring compliance and data integrity.
Designed and delivered a standardized insurer integration model (Sura, Cardiff, AXA) that improved scalability and data consistency across all insurance channels.
Built automated SQL/SAS routines to identify policy renewal opportunities, generating over 10% annual revenue growth.
Developed Power BI dashboards for policy tracking, business impact analysis, and executive reporting.
Communicated insights to senior stakeholders.
Translated business requirements into data models, KPIs, and reporting solutions.
Authored user stories, epics, and acceptance criteria using Agile/Scrum.
Collaborated with cross-functional teams (IT, actuaries, compliance, commercial) to optimize processes, reduce friction, and improve customer experience.

Delivered data-driven implementation of a cancer insurance product with Cardiff in under 2 months via a scalable tenant-based integration model.Extracted, cleansed, and analyzed 10M+ customer records using SQL, Python, and SAS to apply business rules and identify high-value customer segments.Developed and implemented a Python and SAS payment-method identification program to securely transmit customer data to insurers, ensuring compliance and data integrity.Designed and delivered a standardized insurer integration model (Sura, Cardiff, AXA) that improved scalability and data consistency across all insurance channels.Built automated SQL/SAS routines to identify policy renewal opportunities, generating over 10% annual revenue growth.Developed Power BI dashboards for policy tracking, business impact analysis, and executive reporting; communicated insights to senior stakeholders.Translated business requirements into data models, KPIs, and reporting solutions; authored user stories, epics, and acceptance criteria using Agile/Scrum.Collaborated with cross-functional teams (IT, actuaries, compliance, commercial) to optimize processes, reduce friction, and improve customer experience.

Led standardization and centralization of insurance processes across business units, reducing operational complexity and compliance risk.
Reduced customer claims to single-digit levels through targeted process optimization, controls, and root-cause analysis.
Improved operational efficiency by eliminating 2 FTEs via automation and workflow redesign.
Designed and delivered KPIs, management dashboards, and risk frameworks covering credit, claims, and operational risk.
Defined data requirements for analytics and reporting.
Collaborated with governance and risk committees to validate outputs.
Developed SOPs, operational manuals, and scalable process documentation.
Communicated standards across business units.

Led standardization and centralization of insurance processes across business units, reducing operational complexity and compliance risk.Reduced customer claims to single-digit levels through targeted process optimization, controls, and root-cause analysis.Improved operational efficiency by eliminating 2 FTEs via automation and workflow redesign.Designed and delivered KPIs, management dashboards, and risk frameworks covering credit, claims, and operational risk.Defined data requirements for analytics and reporting; collaborated with governance and risk committees to validate outputs.Developed SOPs, operational manuals, and scalable process documentation; communicated standards across business units.