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Entry-Level Data Analyst & Data Entry Clerk

Location:
Delta, Nigeria
Posted:
October 27, 2026

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Resume:

RAPHAEL MIRACLE UTIBE

Entry-Level Data Analyst Business Analytics Supply Chain & Logistics Analytics

Delta State, Nigeria

070******** *****************@*****.***

Open to Remote / Hybrid roles

PROFESSIONAL SUMMARY

Entry-level Data Analyst with approximately one year of experience/exposure in data analytics, using Microsoft Excel and Power BI to analyze business data, build interactive dashboards, track KPIs, and communicate actionable insights. Skilled in data cleaning, reporting, dashboard development, and translating business data into clear information for decision-making. Particularly interested in Business Analytics, Supply Chain, Logistics, and Operations Analytics.

CORE COMPETENCIES / TECHNICAL SKILLS

Technical Skills: Microsoft Excel, Power BI, Power Query, Data Cleaning, Data Analysis, Data Visualization, Dashboard Development, Reporting, Business Intelligence, KPI Reporting

Soft Skills: Communication, Problem Solving, Analytical Thinking, Attention to Detail, Business Understanding

DATA ANALYTICS PROJECTS / PRACTICAL EXPERIENCE

Logistics & Supply Chain Performance Dashboard Microsoft Excel, Power Query & Power BI

•Cleaned and transformed shipment, customer, warehouse, carrier, product, and delivery data using Power Query for reliable analysis.

•Built an interactive three-page supply-chain dashboard to monitor On-Time Delivery Rate, Average Actual Transit Days, shipment volume, damaged shipments, and shipping performance.

•Analyzed carrier, shipping mode, warehouse, vehicle type, route, and regional performance to identify delivery trends, operational bottlenecks, and areas of service improvement.

•Developed KPI measures and visual reports to evaluate logistics efficiency and support data-driven supply-chain decision-making.

•Presented actionable findings and recommendations focused on improving delivery reliability, reducing operational issues, and strengthening overall supply-chain performance.

Healthcare Analytics Dashboard Tools: Microsoft Excel & Power BI

•Analyzed hospital data covering patient visits, departments, diagnoses, insurance types, treatment costs, doctor ratings, satisfaction, length of stay, and readmissions.

•Built an interactive dashboard with KPI cards, charts, and slicers to monitor patient volume, readmission rate, satisfaction, insurance distribution, and departmental performance.

•Identified patterns in patient visits, departmental performance, patient satisfaction, readmissions, and average treatment cost to support operational decision-making.

•Translated analysis into clear business insights and recommendations for healthcare management.

Sales Performance Dashboard Tools: Microsoft Excel & Power BI

•Analyzed sales data to evaluate revenue, profit, product performance, customer trends, and overall sales performance.

•Created an interactive dashboard with KPI cards, charts, and filters to monitor key sales metrics and performance trends.

•Compared sales performance across products, categories, customers, and time periods to identify strong and weak-performing areas.

•Generated actionable insights to support sales planning, performance monitoring, and business decision-making.

EDUCATION

Higher National Diploma (HND), Computer Science

Federal Polytechnic Auchi, Auchi, Edo State, Nigeria 2019 – 2024

CERTIFICATIONS / TRAINING

Excel & AI for Supply Chain Analytics Bootcamp

DataChain Analytics Completed: October 16, 2026 Five-week bootcamp, Cohort 2 Data cleaning, Excel functions, KPI reporting, AI-powered analysis and executive dashboards

Advanced Excel Course

iTeach Academy Completed: July 8, 2026 Recognized expertise in Data Entry, Data Computation and Data Analysis Certificate ID: ITA-MRDEC8X2-9BC5

Excel for Data Analysis

TJ Tech Completed: June 25, 2026 Instructor: Bright Agbor Certificate ID: TJ6026-1759

ADDITIONAL INFORMATION

•Available for remote or hybrid Entry-Level Data Analyst opportunities

•Interested in Business Analytics, Supply Chain Analytics, Logistics Analytics, and Operations Analytics

•References available upon request



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