Senior Data Analyst | Business Intelligence Expert
Results-oriented and detail-focused Senior Data Analyst with 7 years of experience transforming complex datasets into actionable business intelligence across the Nigerian FinTech and E-commerce sectors. Highly proficient in SQL, Python (Pandas, NumPy), and advanced visualization tools like Tableau and Power BI. Proven expertise in statistical modeling, A/B testing, and creating dashboards that drive revenue growth and operational efficiency. Seeking to leverage deep analytical capabilities to optimize strategic decision-making in a leading global firm.
Objective: Forecast high-risk customers for proactive retention efforts.
Methodology: Utilized Python (Pandas, Scikit-learn) for Feature Engineering (transaction history, usage frequency, support ticket volume). Employed a Random Forest Classifier model.
Objective: Identify and eliminate friction points in the user journey from viewing to purchase.
Methodology: Designed and analyzed multiple sequential A/B Tests (hypothesis generation, significance testing) across the payment and cart pages.
Objective: Improve accuracy of stock ordering to minimize holding costs and stockouts.
Methodology: Built a Time Series Forecasting Model (ARIMA/Prophet) incorporating seasonality, promotional data, and macroeconomic indicators.
Designed and managed the company’s key performance indicator (KPI) dashboards for executive decision-making using Tableau. Wrote and optimized complex SQL queries for ad-hoc and recurring reports. Collaborated with Product and Engineering teams to define event tracking and data requirements.
Key Courses: Statistical Modeling, Machine Learning Algorithms, Big Data Technologies, Business Intelligence. Graduated with Distinction.
Developed weekly sales and inventory reports, identifying supply chain bottlenecks. Conducted market basket analysis to inform cross-selling strategies, leading to a 5% increase in average order value.
Awards: Best Graduating Student in Faculty of Sciences. Specialized in Applied Statistics and Computational Methods.
Assisted the Research Department in data cleaning and preliminary statistical analysis of banking sector figures. Contributed to quarterly economic reports.
Document key metric definitions, build single source of truth (SSOT) data models, and implement data quality standards across the organization.
Integrate machine learning models for sales and demand forecasting. Implement real-time analytics for dynamic business intelligence.
Train department heads on Power BI/Tableau usage; create department-specific analytical workspaces. Implement automated insights generation.
African FinTech Awards - Recognizing excellence in data analytics and business intelligence in the FinTech sector across Africa.
PayStack Solutions Internal Award - For outstanding contributions to process optimization and cost reduction through data-driven insights.
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