Saliu Shola

No. 3 Babatunde Kazeem Street, Basin road, Ilorin, 240212, Ilorin, Nigeria.

About

Highly analytical and results-driven Data Analyst with over 8 years of progressive experience in financial planning, budget analysis, and operational reporting. Expertly translates complex data into actionable business insights, driving strategic decisions and enhancing process efficiency across public and private sectors. Proficient in SQL, Python, Excel, and data visualization, leveraging a strong foundation in economics and statistics to deliver measurable impact.

Work

Kwara State Ministry of Planning and Economic Development
|

Senior Planning Officer

Ilorin, Kwara, Nigeria

Summary

Led financial and operational data analysis for over 10 government departments, significantly improving forecast accuracy and optimizing expenditure.

Highlights

Analyzed complex financial and operational data across 10+ government departments, enhancing forecast accuracy by 15% and informing critical resource allocation.

Developed and implemented automated Excel dashboards and Power BI reports, reducing budget vs. actual variance identification time by 40%.

Streamlined data integrity by cleaning and validating over 5 years of financial records using SQL and Excel, cutting reporting errors by 25%.

Collaborated with cross-functional teams to align budgets with strategic goals, resulting in a 12% optimization of expenditure.

Prepared comprehensive monthly performance reports, providing actionable insights that guided strategic decisions for senior leadership.

Cadbury Nigeria Plc
|

Merchandiser

Ilorin, Kwara, Nigeria

Summary

Managed inventory and sales data across 50+ retail outlets, utilizing demand forecasting and competitive analysis to enhance product availability and sales strategy.

Highlights

Managed inventory data for over 50 retail outlets using Excel, reducing stockouts by 20% through precise demand forecasting.

Conducted in-depth competitor pricing analysis, presenting key insights that significantly influenced regional sales strategy and market positioning.

Leveraged customer feedback data to optimize product placement and promotional effectiveness, enhancing customer satisfaction and sales.

Education

Bayero University Kano
Kano, Kano, Nigeria

B.Sc.

Economics

Courses

Econometrics

Statistics

Quantitative Methods

Financial Analysis

Languages

English

Certificates

Google Data Analytics Professional Certificate

Issued By

Coursera

Introduction to Data Analysis Using Python

Issued By

Google / Coursera

Introduction to Data Science

Issued By

Cisco

Data Analysis

Issued By

Wootlab

Career Essentials in Administrative Professional

Issued By

Wootlab

Skills

SQL

SQL, Joins, Window Functions.

Python

Python, Pandas, Matplotlib.

Data Visualization

Power BI, Tableau.

Excel

Excel, Advanced Excel.

Statistics & Forecasting

Statistics, Forecasting.

Data Cleaning & Reporting

Data Cleaning, Data Reporting.

KPI Tracking

KPI Tracking, Performance Metrics.

Business Intelligence

Business Intelligence, BI Reporting.

Financial Planning

Financial Planning, Budget Analysis.

Operational Reporting

Operational Reporting, Performance Analysis.

Strategic Decision Making

Strategic Decision Making, Business Insights.

Process Efficiency

Process Efficiency, Process Improvement.

Cross-functional Collaboration

Cross-functional Collaboration, Team Leadership.

Demand Forecasting

Demand Forecasting, Inventory Management.

Competitor Analysis

Competitor Analysis, Market Research.

Customer Feedback Analysis

Customer Feedback Analysis, Product Optimization.

Projects

Customer Insights Report (Tableau)

Summary

Developed a customer segmentation and churn storyboard using mock CRM data, applying correlation analysis to identify key retention drivers.

Sales Trend Analysis (SQL + Python)

Summary

Analyzed five years of retail sales data using advanced SQL window functions and Python libraries (Pandas/Matplotlib) to uncover sales patterns.

Budget Performance Dashboard (Power BI)

Summary

Built an interactive dashboard to visualize actual versus budgeted expenditure, utilizing Power Query & DAX for comprehensive variance analysis.