ZAINAB OKIKIOLA OYENIYI

Healthcare Data Analyst

Lagos, NG.

About

Results-driven Healthcare Data Analyst with 2 years of experience specializing in epidemiological and disease surveillance data. Expertly leverages SQL, Power BI, Excel, SPSS, and REDCap to transform complex global health datasets into actionable insights. Proven ability to build interactive dashboards, clean over 10,000 records, and reduce data errors by 50%, significantly shortening reporting turnaround by 2 days to empower strategic research, surveillance, and program decisions.

Work

Centre for Population Health Initiatives

|

Research Analyst

Lagos, Lagos, Nigeria

→

Summary

Led data analysis and management for public health initiatives, delivering critical insights that informed program strategy and contributed to peer-reviewed research.

Highlights

Streamlined data quality processes by cleaning, validating, and analyzing over 10,000 HIV/AIDS and infectious disease records using SPSS and Excel, achieving a 50% reduction in data errors and accelerating reporting turnaround by 2 days for program officers.

Provided critical evidence through timely analysis of population survey datasets, directly informing strategic program decisions and securing successful external grant submissions.

Evaluated longitudinal trends in treatment adherence, program participation, and health outcomes across diverse disease prevention cohorts, optimizing resource allocation and enhancing program effectiveness for leads.

Co-authored a peer-reviewed publication in PLOS One, contributing significantly to study data preparation, statistical analysis, and interpretation of Hepatitis B vaccination adherence findings.

Education

Tech Studio Academy

Not Specified, Not Specified, Nigeria
→
Program Data Science and Analysis

Tai Solarin University of Education

Not Specified, Not Specified, Nigeria
→
B.Sc. Education Biological Sciences Grade: 4.4/5.0

Languages

English

Certificates

Data Analytics Essentials

Coursera

SQL (Advanced)

HackerRank

Skills

Data Tools

Microsoft Excel (Advanced), SQL (PostgreSQL), SPSS, REDCap.

Visualisation

Power BI (Power Query, DAX), Tableau.

Programming

Python (pandas).

Data Practices

Data cleaning, Data transformation, Data modeling, Exploratory data analysis, Dashboard development, Statistical analysis, Stakeholder reporting, Disease surveillance, Program monitoring and evaluation.

Projects

Global STI Disease Surveillance Dashboard

→

Summary

Developed a comprehensive dashboard to analyze sexually transmitted infection (STI) trends, testing rates, and vaccination coverage across diverse countries and regions.

Smokers Health Risk Analysis

→

Summary

Conducted an in-depth analysis to identify factors contributing to organ damage beyond conventional smoking history.