Eneojo Sunday Jibrin

Data Analyst | Business Intelligence Enthusiast

Turning Data Into Insights, Dashboards & Better Business Decisions.

I transform raw and complex business data into meaningful insights, interactive dashboards, and decision-support solutions that help organizations understand performance and make better-informed decisions.

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Portrait of Eneojo Sunday Jibrin

Business problem first, tool second.

My approach to analytics starts with the business problem, not the tool. I use data to understand what is happening, investigate why it is happening, and communicate insights that can support better decisions.

  • Data Analysis
  • Business Intelligence
  • Microsoft Power BI
  • Power Query
  • DAX
  • Data Cleaning
  • Data Visualization
  • KPI Development
  • Data Modeling
  • Business Problem Solving
  • Data Storytelling

Featured projects

Two projects, each starting from a business question. Files open in Google Drive in a new tab.

Voyage Logistics dashboard page 1: KPI cards for revenue, maintenance cost, downtime, trips, miles and profit, with driver revenue, revenue by city map, truck revenue and maintenance charts

Voyage Logistics — Fleet Performance Dashboard

Logistics | Fleet Analytics | Business Intelligence

An interactive fleet performance dashboard bringing together financial, operational, driver, vehicle and geographic data.

Key business problem: How do revenue, utilization, maintenance and downtime connect across the fleet, its drivers and its routes?

$257MRevenue
$252MProfit
84KTrips
120MMiles
$6MMaintenance cost
54.81KDowntime hours
What it analyses

Revenue, profitability, fleet utilization, driver performance, truck performance, maintenance, downtime, fuel efficiency, delivery performance and geographic performance. It shows how complex operational data becomes an interactive business intelligence solution.

  • Power BI
  • Power Query
  • DAX
  • Data Modeling
View Project View Case Study View Dashboard
FMCG production and inventory imbalance dashboard page 1: KPI cards for sell-through rate, production-to-sales ratio, demand-supply gap, inventory turnover and days of inventory, with an inventory level table and total units sold by product

FMCG Production & Inventory Root Cause Analysis

FMCG | Inventory Analytics | Root Cause Analysis | Business Intelligence

A business investigation rather than just a dashboard, tracing where production, sales, demand and inventory fall out of step.

Key business problem: Are we producing the right products, in the right quantities, at the right time, and in the right locations to meet actual customer demand?

13%Sell-through rate
1.63Production-to-sales ratio
9MDemand-supply gap
2.95Inventory turnover
123.93Days of inventory on hand
82.01MTotal inventory units
What it investigates

Production, sales, demand, inventory, SKU performance, regional allocation, demand forecasting, production planning, slow-moving products and inventory policies. It goes beyond reporting numbers to the underlying business problem.

  • Power BI
  • Power Query
  • DAX
  • Data Modeling
View Project View Case Study View Dashboard

From raw data to a decision

  1. Understand

    Identify the business problem and key questions.

  2. Clean & Prepare

    Clean, transform and prepare data using Power Query.

  3. Analyse

    Use DAX, KPIs, data modeling and analytical techniques to find patterns.

  4. Visualize

    Turn findings into interactive Power BI dashboards.

  5. Interpret & Recommend

    Translate findings into business insights and recommendations.

  1. SQLExtract & query data
  2. Python / PandasClean & analyse data
  3. Power QueryTransform data
  4. Power BI / DAXBuild dashboards & KPIs
  5. InsightsFind what matters
  6. RecommendationsSupport decisions

Skills & technologies

Data Analytics

  • Data Cleaning
  • Data Analysis
  • KPI Analysis
  • Root Cause Analysis
  • Data Storytelling
  • SQL
  • Python
  • Pandas

Business Intelligence

  • Power BI
  • Power Query
  • DAX
  • Data Modeling
  • Dashboard Development

Business Analysis

  • Operational Analytics
  • Inventory Analytics
  • Fleet Analytics
  • Performance Analysis
  • Decision Support

Python & PandasData cleaning, transformation, exploratory analysis, missing values and duplicates, aggregation and preparing datasets for visualization.

SQLQuerying relational data, joining tables, filtering and aggregating records, building business metrics and analysing trends.

Power BIInteractive dashboards, KPI reporting, drill-down analysis and communicating insights to decision-makers.

What I bring to a team

Understand Performance

Turn complex datasets into clear, meaningful performance indicators.

Discover Problems

Identify patterns, inefficiencies and potential root causes.

Generate Insights

Translate analysis into business insights people can act on.

Support Decisions

Give recommendations that help organizations decide better.

“I don't just build dashboards to show numbers. I use data to understand the business problem behind the data, identify potential root causes, and provide insights that can support better operational decisions.”

Let's Turn Data Into Better Decisions.

Eneojo Sunday Jibrin, Data Analyst | Business Intelligence Enthusiast

Let's Connect on LinkedIn Resume / CV Email GitHub