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Data Analyst with 1+ years in BI Solutions & Data Pipeline Optimization
Results-driven Technical Data Analyst and Business Intelligence professional with proven experience designing end-to-end BI solutions, optimizing SQL-based data pipelines, and building executive-grade Power BI dashboards across financial services and payments industries. Adept at transforming high-volume, complex datasets into clear, decision-ready intelligence through interactive dashboards, cohort analyses, KPI frameworks, and automated reporting workflows. Experienced in API integration, application deployment monitoring, cross-functional stakeholder collaboration, and translating analytical findings into revenue and operational improvements. Equally strong in strategic data storytelling and deep technical execution.
Southwestern University Nigeria
Bachelor of Science (B.Sc.) · Computer Science
January 1, 2025 – Present
The Polytechnic, Ibadan
Higher National Diploma (HND) · Mathematics & Statistics
January 1, 2022 – December 31, 2024
The Polytechnic, Ibadan
National Diploma (ND) · Mathematics & Statistics
January 1, 2018 – December 31, 2021
Xpress Payment Solution
Technical & Data Analyst
June 1, 2025 – Present
India
HNG
Data Analyst Intern
January 1, 2025 – April 30, 2025
India
Independent
Freelance Data Analyst & Analytics Trainer
January 1, 2024 – Present
India
National Youth Service Corps (NYSC)
Data & Information Officer
January 1, 2021 – December 31, 2022
India
Financial Transaction & Revenue Analytics Dashboard
January 1, 2025 – December 31, 2025
Designed a multi-page Power BI dashboard consolidating transaction data from SQL Server, surfacing revenue trends, transaction failure rates, reconciliation gaps, and real-time financial KPIs for management reporting. Implemented row-level security (RLS) and dynamic DAX measures to enable drill-through analysis by region, product, and time period — giving business units self-service BI capability. Automated data refresh pipelines using Power Query and scheduled SQL jobs, ensuring dashboards always reflected the latest transaction data without manual intervention.
Supplier Quality & Performance Analytics Dashboard
August 1, 2024 – December 31, 2024
Developed a comprehensive Power BI report consolidating multi-source data to surface defect rates, downtime trends, and supplier performance metrics enabling management to identify underperforming vendors and take data-driven corrective action. Applied DAX time intelligence functions to deliver period-over-period variance analysis and trend forecasting, improving procurement decision-making.
Workforce (HR) Analytics Dashboard
June 1, 2024 – December 31, 2024
Produced monthly workforce analytics dashboards visualising staff metrics, resource allocation, attrition rates, and hiring effectiveness enabling leadership to make data-backed headcount and retention decisions. Applied statistical methods including regression and correlation analysis to identify key drivers of employee turnover and performance, with findings presented to senior leadership.
Customer Segmentation & Retention Analysis
January 1, 2024 – December 31, 2024
Conducted RFM (Recency, Frequency, Monetary) segmentation on transactional data using Python and SQL, identifying high-value customer cohorts and churn-risk segments. Delivered segment-level insights visualised in Power BI, enabling the business to prioritise retention campaigns and personalise engagement strategies for top-tier customers.
Talent Badge
Unknown
June 1, 2026 – Present
Associate Data Analyst
DataCamp
January 1, 2024 – Present
SQL Associate
DataCamp
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including HR, customer, financial, and supplier analytics, shows adaptability and a broad interest in applying data skills across different business domains. Their involvement in Data Community Africa as a Team Lead and experience as an Analytics Trainer indicates a proactive, collaborative, and knowledge-sharing mindset, which is a strong cultural fit for roles requiring continuous learning and contribution.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through resolving financial transaction issues and optimizing SQL queries. Their experience in collaborating with customer care and business units indicates good teamwork and stakeholder communication. The freelance training role also highlights leadership and mentorship potential. The focus on automating reporting and ensuring data consistency aligns well with operational efficiency requirements.