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Data Analyst with 3+ years in Banking & Business Analytics
A Statistics graduate and analytical professional with a broad background spanning banking operations, customer relationship management, fintech quality assurance, and data analytics. Brings over two years of experience in the Nigerian banking sector across retail and relationship banking roles, a self-built portfolio of data analytics projects across SQL, Power BI, Excel, Tableau, and R, and strong competencies in structured reporting, stakeholder communication, and business insight generation. Known for combining quantitative thinking with practical business understanding to deliver clear, data-driven recommendations. Currently deepening expertise in SQL, Power BI, and Python to drive career growth in data and business analytics.
University of Abuja
B.Sc. · Statistics
August 1, 2016 – June 30, 2020
Total Child Model Schools
Senior Secondary School Certificate
N/A – May 31, 2015
Assuredly (Fintech)
QA / Software Testing Intern
October 1, 2025 – November 1, 2025
India
United Bank for Africa (UBA)
Profit Centre Manager - Personal Banking
November 1, 2024 – September 1, 2025
Abuja, Federal Capital Territory, Nigeria
Union Bank of Nigeria
Relationship Manager
November 1, 2022 – March 1, 2024
Abuja, Federal Capital Territory, Nigeria
Sparkle White Enterprise
Procurement Officer (NYSC)
March 1, 2020 – March 1, 2021
India
Debt Management Office of Nigeria (DMO)
IT Support Intern
October 1, 2018 – January 1, 2019
Abuja, Federal Capital Territory, Nigeria
HR Attrition Analysis
June 24, 2026 – Present
Analyzed 1,470 employee records to identify an overall attrition rate of 16.12%, with Sales (20.63%) and overtime employees (30.53%) as the highest-risk groups. Identified early-tenure employees (0-2 years, 29.82% attrition) and low-income staff (28.61%) as critical retention priorities. Built 3 reusable SQL views and an interactive Power BI dashboard with KPI cards, department filters, and attrition breakdowns.
Sales Performance Analysis
June 24, 2026 – Present
Queried 9,994 retail transactions in PostgreSQL, identifying the West region ($725K revenue) as the strongest market and a $321K gap vs. the South. Discovered that medium and high discounts generated net losses of -$58.8K and -$76.6K respectively, prompting strategic pricing recommendations. Developed 6 reusable SQL views and a Power BI dashboard covering revenue, profitability, regional performance, and seasonal trends.
Interactive Executive Revenue Dashboard
June 24, 2026 – Present
Built a management-level dashboard with KPIs (Total Revenue, Orders, Customers) across 9,800 retail transactions (2015-2018). Implemented dynamic slicers for Region, Category, and Year — enabling executive-level filtering and reporting simulation.
Customer Segmentation & Revenue Concentration Analysis
June 24, 2026 – Present
Segmented 793 customers by revenue contribution; found the top 20% contributed only 48% — disproving the classic 80/20 assumption. Delivered findings with strategic implications for customer loyalty, retention focus, and revenue diversification.
Econometric Time-Series Analysis of Exchange Rate Determinants in Nigeria (1981–2018)
June 24, 2026 – Present
Applied regression modeling, unit root testing, and Johansen co-integration analysis across 38 years of macroeconomic data in R. Identified interest rate, external debt, and government expenditure as key long-run exchange rate determinants with fiscal and monetary policy implications.
Deloitte Australia Data Analytics Job Simulation
June 24, 2026 – Present
Structured JSON telemetry data in Tableau and built an interactive dashboard highlighting downtime concentration patterns for operational decisions.
SQL Bootcamp - PostgreSQL
Udemy
June 1, 2026 – Present
Power BI
Udemy
June 1, 2026 – Present
Microsoft Excel - Beginner to Advanced
Udemy
January 1, 2026 – Present
Deloitte Australia Data Analytics Job Simulation
Forage
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including personal and academic projects, showcases initiative and a proactive approach to skill development. Their background in banking, combined with a statistics degree and self-driven data analytics projects, indicates a strong alignment with roles requiring both quantitative rigor and business acumen. The continuous learning indicated by in-progress certifications (SQL, Power BI, Python) suggests a growth mindset and adaptability, which are positive indicators for cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving skills, and the ability to translate complex data into actionable business insights. Their experience in banking roles (Profit Centre Manager, Relationship Manager) highlights stakeholder communication, reporting, and operational efficiency monitoring, which are crucial for a Data Analyst role. The QA internship also shows exposure to Agile workflows and defect management, indicating an organized approach to tasks.