Data Analyst · Business Intelligence
Turning millions of transactions into business decisions, product improvements, and measurable growth — from Lagos, Nigeria to global impact.

Emmanuel Isidahomhen is a results-driven Data & Business Intelligence Analyst with deep expertise in telecom and fintech analytics. He transforms raw, complex datasets — often spanning millions of records — into clear, actionable insights that drive product improvements and revenue growth.
Based in Lagos, Nigeria, Emmanuel specializes in SQL-powered analysis, Power BI dashboards, Python automation, and KPI frameworks that align analytics with real business strategy.
Up to 8 million transactions analyzed monthly across telecom and fintech platforms
Automated dashboards slashed manual reporting time by 75%
Transaction success rate improved by 10 percentage points through targeted analytics
Transaction failure rates reduced by 15% via funnel and root-cause analysis
Advanced SQL for querying, transforming, and modeling large-scale transactional databases across digital platforms and business environments.
End-to-end BI dashboard development — from data modeling and DAX measures to executive-ready visual reports and automated pipelines.
Python for data wrangling, statistical analysis, segmentation modeling, and automation of repetitive reporting workflows.
Deep-dive funnel analysis, retention cohort modeling, user segmentation, and behavioral analytics to optimize product experience.

Specialized across the full analytics stack — from raw SQL queries to executive-facing Power BI dashboards and Python-driven automation.
Analyzed 5M–8M monthly transaction records for MoMo & MyMTN. Improved transaction completion rate from 70% → 80%, reduced failure rates by 15%, and built automated Power BI dashboards cutting reporting time by 75%. Delivered user segmentation, conversion, and retention insights directly to product teams.
Optimized VAS service delivery by improving processing efficiency by 12%, reducing recurring incidents by 18%, cutting deployment errors by 25%, and improving release timelines by 20%. Bridged data and systems thinking to drive operational excellence.
Trained and mentored 20+ aspiring data analysts on SQL, Power BI, Python, ETL pipelines, and dashboard storytelling. Built curriculum that translated technical skills into real-world analytical thinking.
Drove a 12% increase in monthly sales revenue through data-driven analytics. Built KPI dashboards and improved campaign conversion rates, establishing a data-first culture within the marketing function.

Built a comprehensive supply chain performance model tracking inventory, delivery lead times, and supplier reliability. Identified bottlenecks and delivered actionable recommendations through interactive dashboards.

End-to-end analysis of multi-channel campaign performance. Tracked conversion funnels, audience segments, and ROI metrics to surface high-performing channels and optimize spend allocation.

This project explores and analyzes travel and transportation data using SQL. The goal is to derive actionable insights such as revenue performance, trip patterns, booking behavior, and route usage from raw data containing trip, customer, and vehicle information.

This project explores the UAE rental property market using over 73,000 real estate listings collected across major cities.The objective was to analyze rental pricing patterns, property performance, geographic trends, and market opportunities using Python-based data analytics techniques.

This project is an interactive sales & performance analytics dashboard developed to provide a comprehensive view of betting business performance across regions, states, agents, activities, and time periods.
From raw data to business decision — a disciplined, repeatable process.
Every engagement begins with understanding the business question first — the data work follows with precision and purpose.
Consistently analyzed high-volume transaction data at scale, maintaining accuracy and performance across complex pipelines.
Automated BI pipelines eliminated manual effort, freeing analyst and operations time for higher-value strategic work.
Data-driven product changes directly attributed to a 10 percentage point increase in transaction success rates.
Root-cause analytics and targeted interventions cut transaction failure rates by 15%, improving platform reliability.
Whether you're looking for a Data Analyst to own your reporting infrastructure, drive product analytics, or uncover revenue insights hidden in your data — Emmanuel is available for new opportunities and collaborations.
Lagos, Nigeria — open to remote & hybrid roles globally
Open to full-time, contract, and freelance analytics engagements

Emmanuel Isidahomhen