Survey Data Insights (Power BI)
Summary
Analyzed survey data to identify trends in salary, satisfaction, and skills, segmenting insights by demographics and roles for strategic insight.
About
Highly analytical and results-driven Data Analyst with extensive experience leveraging SQL, Python, Excel, Power BI, and Tableau to translate complex datasets into strategic business insights. Proven ability to drive significant improvements in sales, customer retention, and operational efficiency by developing robust dashboards, conducting in-depth analyses, and optimizing data accuracy. Seeking to apply advanced analytical skills and a strong track record of quantifiable impact to support data-driven decision-making in a dynamic organization.
Work
Moniepoint
|Business Relationship Manager
Nigeria, Nigeria
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Summary
Managed key client relationships and drove business growth through strategic onboarding, training, and customer retention initiatives for a leading fintech platform.
Highlights
Drove 20% growth in transaction volume within one month by optimizing client onboarding processes.
Delivered comprehensive training to over 50 merchants monthly, consistently achieving a 95% satisfaction rate.
Collaborated with product and operations teams to reduce customer churn by 30% through targeted interventions.
Identified and capitalized on upsell opportunities, contributing to a 15% increase in monthly recurring revenue.
Nwenewor & Sons Tech Solutions
|Data Analyst
Nigeria, Nigeria
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Summary
Analyzed complex sales and operations data to deliver actionable insights, improving client ROI and optimizing marketing strategies for a technology solutions provider.
Highlights
Analyzed sales and operations data, improving client Return on Investment (ROI) by 18% through data-driven recommendations.
Developed and deployed Power BI dashboards for real-time decision-making, serving over 10 diverse clients.
Cleaned and validated over 500,000 rows of raw data, enhancing overall data accuracy by 95%.
Led customer behavior analysis initiatives, improving targeted marketing campaign effectiveness by 22%.
Nigeria, Nigeria
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contract
Summary
Managed a large portfolio of client accounts, consistently exceeding sales targets and enhancing product visibility for a leading e-commerce platform.
Highlights
Managed over 200 client accounts, increasing sales by 25% month-over-month through effective relationship management.
Consistently surpassed sales targets, achieving over 120% of goals for three consecutive quarters.
Onboarded more than 100 new vendors and improved product visibility by 15% on the platform.
Education
Ebonyi State University
Nigeria, Nigeria
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Bachelor of Science
Banking and Finance
Skills
Tools
SQL, Python, Pandas, NumPy, Excel, Power BI, Tableau.
Visualization
Power BI, Tableau, Matplotlib, Seaborn.
Analysis
KPI Dashboards, Financial Modeling, A/B Testing, Segmentation.
Soft Skills
Data Storytelling, Communication, Critical Thinking, Time Management.
Projects
Personal Loan Marketing Data Pipeline (Python)
Summary
Personal loans are a high‑margin product for banks, but only if marketing data is reliable and reusable. This Python pipeline cleans and standardizes a raw campaign extract (bank_marketing.csv) so the bank can load it into PostgreSQL and easily append future campaigns without rework. It enforces consistent schemas and data types, fixes common quality issues, and outputs three final, analysis‑ready CSVs.