Data · Business Intelligence · Analytics

Chinyere Obi

Data & Business Intelligence Analyst

I build analytics systems that uncover revenue leakage, automate reporting, predict customer behaviour, and help leaders make confident business decisions.

2× Tableau Viz of the Day Top 1% Data Storytelling Cohort MBA Open to Remote Opportunities
98%Reporting preparation time reduced
90%Recurring reporting errors reduced
15+Analytics and BI projects delivered
Tableau Viz of the Day recognition
2+ yrsData analysis, reporting, and business operations experience

Recognition

Independent signals of analytical, visual, and storytelling quality.

2× Tableau Viz of the Day

Recognized by Tableau Public for exceptional visual analysis and storytelling.

DataDNA Winner

Winner of the Onyx DataDNA September 2024 analytics challenge.

DataDNA Runner-up

Runner-up recognition for healthcare analytics and business storytellings in April 2025 & June 2026.

2026 Tableau Conference Featured

A featured portfolio project within the global Tableau community.

About

Business-minded analytics with an auditor's instinct for accuracy

I am a Data and Business Intelligence Analyst with an MBA and more than two years of experience turning complex, messy data into decision-ready reporting.

My work combines SQL, Python, Tableau, Power BI, data modelling, and automation to solve practical business problems such as revenue leakage, customer churn, operational monitoring, data-quality gaps, and manual reporting bottlenecks.

I bring a finance and accounting perspective to analytics: every metric should reconcile, every dashboard should answer a business question, and every insight should lead to a clear action.

SaaSFinTechHealthcareNonprofitOperationsProduct Analytics

Analytics

SQL · Python · Pandas · Statistics · Segmentation

Business Intelligence

Tableau · Power BI · Excel · KPI Design · Executive Dashboards · Data Storytelling

Data Engineering

ETL Pipelines · SQL Server · PostgreSQL · MySQL · Data Validation · Reporting Automation

Domain Expertise

Revenue Analytics · Churn · Reconciliation · Process Improvement · Stakeholder Communication

Selected Projects

Business problems solved end to end

Each case study connects the business challenge, analytical approach, measurable impact, and technical implementation.

Revenue reconciliation dashboard

Revenue Analytics

Revenue Reconciliation & Data Quality System

Challenge
Finance could not reliably reconcile product access against billing records.
Approach
Built a SQL validation and exception-classification workflow.
Impact
$260K+ in annual revenue exposure identified.
SQL ServerETLRevenue Analytics
View Case Study
Customer churn analysis dashboard

Predictive Analytics

Customer Churn Analysis & Prediction

Challenge
Retention teams lacked a reliable way to identify customers likely to churn.
Approach
Developed a classification model and Tableau risk dashboard.
Impact
0.847 ROC-AUC with high-risk customers prioritized.
PythonMachine LearningTableau
View Case Study
Automated ETL and reporting workflow

Reporting Automation

Automated ETL Pipeline & Reporting System

Challenge
Manual preparation created long delays and recurring data errors.
Approach
Automated data cleaning, validation, transformation, and reporting.
Impact
98% faster preparation and 90% fewer recurring errors.
PythonETLGoogle Sheets
View Case Study
SQL database design project

Database Design

SQL Database Design

Challenge
Operational booking data required a structured relational model.
Approach
Designed normalized tables, integrity constraints, and analytical queries.
Impact
Improved data integrity, reliability, and query readiness.
SQLData ModellingDatabase Design
View Case Study
SaaS business health dashboard

SaaS Analytics

SaaS Business Health Dashboard

Challenge
Leadership lacked a unified view of growth, churn, and segment economics.
Approach
Connected MRR, retention, churn, and customer segment performance.
Impact
Translated business health into a practical 90-day roadmap.
SaaSTableauStrategy
View Case Study
Healthcare analytics dashboard

Healthcare Analytics

Healthcare Analytics

Challenge
Patient, hospital, diagnostic, and cost data were difficult to interpret together.
Approach
Built a dashboard covering outcomes, utilization, and treatment cost.
Impact
Analysed 55,500 patients across 10 hospitals.
TableauHealthcareData Storytelling
View Case Study

Contact

Let’s discuss your analytics needs

Available for data analysis, BI, Tableau development, reporting automation, and data storytelling opportunities.

Availability

Nigeria · GMT+1 · Remote-ready

Full-timeContractFreelanceRemote

Professional Profiles

Typically responds within 24 hours.

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