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Odenigbo SimonOS
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Odenigbo Simon

@odenigbosimon

Data Analyst translating SQL, Excel, Power BI, and Python into actionable logistics and e-commerce insights.

Nigeria
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What I'm looking for

I’m looking for an analytics role where I can build automated reports and dashboards, use SQL/Power BI/Python for modeling and forecasting, and help logistics or e-commerce teams improve operational efficiency through data-driven decisions.

I’m a Data Analyst with hands-on experience using SQL, Advanced Excel, Power BI, and Python to extract, clean, and model business data. I transform raw data into actionable insights that support forecasting and operational efficiency.

I build automated reports and interactive dashboards for e-commerce and logistics operations. From delivery-time tracking to revenue and customer-behavior views, I focus on turning complex metrics into clear, decision-ready outputs.

Before shifting deeper into analytics, I worked as a Sales Manager, analyzing daily, monthly, and year-over-year sales data to identify buying trends and improve inventory turnover. I also built tracking sheets to evaluate sales team performance and support structured operations, applying strategic planning and regional market data for market expansion.

Through projects like a Logistics & Operations Performance Tracker and a Global E-Commerce Analytics Dashboard, I’ve strengthened my end-to-end workflow: extracting and cleaning data with SQL, building Power BI reporting with Power query and DAX, forecasting with Advanced Excel, and automating weekly reporting to save hours of manual work.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

Chukwuemeka Odumegwu Ojukwu University logoCU

Chukwuemeka Odumegwu Ojukwu University

Bachelor of Science (B.Sc.), Human Anatomy

2021 - 2024

Grade: Second Class Honours (2:2)

B.Sc. in Human Anatomy (Second Class Honours, 2:2) completed from 2021 to 2024. Completed an independent undergraduate research project, building skills in scientific methods, data interpretation, and technical reporting.

Tech stack

Software and tools used professionally

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