Hezekiah Olatunji — Data Analyst

Who I am

About Me

I am a detail-oriented Data Analyst with a strong analytical background in cost analysis, budgeting, and performance reporting. My foundation in Quantity Surveying has given me an unusually practical lens for data work — I understand what numbers mean in real operational contexts, not just in spreadsheets.

I have spent over eight years collecting, cleaning, analysing, and interpreting structured data to support high-stakes decision-making across construction and public-sector projects — including projects exceeding ₦550 million in value.

Today, I am deepening my capabilities in Power BI, SQL, and data visualisation — building BI solutions that help organisations see clearly and act confidently.

Data Storytelling Dashboard Design Cost Analytics KPI Tracking Data Cleaning EDA Financial Modelling Report Writing

Tools & Technologies

📊

Power BI

Beginner–Intermediate

📗

Microsoft Excel

Advanced

🗄️

SQL

Foundational

🔢

DAX

Intermediate

🔗

Power Query (M)

Intermediate

📈

Data Visualisation

Proficient

Featured work

Projects

End-to-end data projects — from raw data to decision-ready insights.

01 / Coffee Orders

Power BI DAX Excel Data Cleaning

Coffee Orders Sales Analysis

Problem → Which products, regions, and periods drive the most revenue?

Merged and cleaned transactional sales data across multiple tables to build an interactive Power BI dashboard. Applied DAX measures to surface dynamic KPIs, top-performing SKUs, seasonal trends, and customer segment behaviour — turning raw order data into a revenue strategy tool.

Key outcomes

Identified top 3 product categories driving 70%+ of revenue

Built dynamic slicers enabling region and period drill-down

02 / Electronics Sales

Power BI Data Modelling DAX Power Query

Electronics Sales Performance Dashboard

Problem → How do regional sales, YoY growth, and product lines compare?

Designed a full-cycle BI solution — cleaning raw retail data, building a star schema model, writing time-intelligence DAX measures, and creating an executive dashboard. Delivered YoY comparison, regional breakdown, and product-level performance metrics in a single view.

Key outcomes

Star schema model reduced query complexity by design

YoY and MoM measures built using DAX time intelligence

03 / Enterprise BI

Power BI DAX Star Schema Enterprise BI

Enterprise Business Intelligence Dashboard

Problem → How can an organisation monitor performance across all functions in one place?

Built a comprehensive 4-page Power BI enterprise solution covering the full BI development lifecycle — data cleaning, relational modelling, DAX measure library, and executive-ready dashboard design. Each page delivers a focused view: Sales, Operations, HR, and Financial performance.

Key outcomes

4-page multi-domain dashboard built end-to-end

Full DAX measure library with KPIs across all business functions

Work history

Experience

Eight years of analytical work across ₦550M+ in project value — from field data to boardroom dashboards.

2025 – 2026

Project Quantity Surveyor

Rozeron Contractors

Analysed cost and performance data for an 11,118 m² commercial refurbishment project, identifying inefficiencies that led to a 5% cost reduction.
Developed structured Excel reports to track budget performance, expenditures, and variances across project phases.
Cleaned and consolidated financial datasets from multiple stakeholders to support management decision-making.
Produced periodic analytical summaries highlighting cost trends, risks, and optimisation opportunities.

2022 – 2025

Quantity Surveyor

Avalon & Partners Ltd

Collected, organised, and analysed procurement and cost datasets for public-sector infrastructure projects.
Used Excel-based models to compare supplier pricing, lifecycle costs, and budget impacts.
Tracked project KPIs including cost variance, schedule variance, and procurement efficiency across multiple concurrent projects.

2019 – 2022

Quantity Surveyor

Femlat Global Consult

Analysed financial and operational data for projects exceeding ₦550 million, maintaining budget variance within 1%.
Audited datasets related to claims, variations, and material usage to ensure data accuracy and compliance.
Prepared analytical reports and dashboards to communicate insights to clients and project managers.
Conducted detailed quantity and cost analysis using structured data extracted from technical drawings.

Capabilities