MARK OLAFARE

Architected and maintained enterprise-grade self-service dashboards using Power BI & Tableau with advanced DAX, row-level security, and optimized data models, tracking over £5M+ in quarterly revenue across multiple business units.

Designed and analyzed A/B tests and post-launch experiments, building performance dashboards that contributed to a 15% reduction in operational costs with measurable ROI improvements.

Developed comprehensive KPI frameworks for acquisition, retention, churn, and revenue, translating complex business questions into actionable insights and establishing a single source of truth across product, marketing, and engineering teams.

Engineered scalable SQL pipelines and semantic layer models for BI reports, significantly improving data accuracy and reliability by 40% and ensuring consistent, trusted metrics across teams.

Led executive-level data storytelling, translating complex analytical outputs into board-ready reports that directly influenced product and growth strategy decisions.

Owned end-to-end analytics for payments reconciliation and settlement monitoring across 29 banks and payment processors, driving an 80% reduction in issue resolution time through real-time visibility dashboards.

Designed KPI frameworks and anomaly detection workflows to track SLA adherence and settlement accuracy, identifying over #400M+ in revenue leakage and settlement inefficiencies within six months.

Engineered complex SQL transformations and data validation pipelines, ensuring high-integrity data for reports used by operations, finance, and executive stakeholders, enabling 100% SLA compliance through proactive monitoring.

Translated payments and settlement data into clear, executive-ready visuals that directly shaped product roadmap decisions, partner strategy, and process improvements, forming the core of a product analytics function.

Built multivariate variance analyses and performance trend models that informed critical business decisions regarding payment product optimization and partner prioritization.

Built interactive dashboards, enabling stakeholders to monitor customer engagement, service performance, and operational KPIs in a high-volume digital environment supporting millions of users.

Conducted root-cause analyses through drill-through reports, contributing to a 30% reduction in average call handling time and achieving measurable improvements in customer satisfaction scores.

Analyzed customer behavior and service trends to support product and operational improvements, translating findings into data-driven recommendations that directly informed feature prioritization.

Partnered with product and customer success teams to embed reporting into continuous improvement workflows, ensuring analytical insights translated into measurable business outcomes.