I'm a data analyst working inside Nigeria's National Health Insurance Authority, where I turn claims backlogs, HMO submissions and enrolment data into dashboards and reports a steering committee can act on. Before NHIA, I reconciled payment records at Jumia, built BI dashboards remotely for a UK data team, and ran analytics for logistics and procurement teams in the oil & gas sector.
Built the live monitoring dashboard for NHIA's CEmONC maternal health programme, consolidating claims submitted by two Third-Party Administrators across 53 reporting facilities. The dashboard tracks approvals, rejections and pending items in near real time for the programme's steering committee.
Cross-checked AXA Mansard's summary claims report against its detailed submission and found the two didn't agree: the summary listed claims for 37 facilities while the detailed report covered only 22, leaving 15 facilities' claims unaccounted for. Logged every discrepancy by facility and issued a formal data request back to the HMO.
Built the annual enrolment analysis for NHIA Rivers State, segmenting Gifship (group, individual, family) and Mop-Up registrations by month, and tying enrolment volume to revenue across four income streams.
Consolidated patient-level surgical claims from six VVF (fistula) treatment centres into a single reporting sheet, then compared each facility's previous and most recent submissions month by month to catch late or missing claims before they reached the programme total.
Independent case study on Nigerian facility-level immunisation and delivery data. Tested whether Penta3 vaccine coverage differs between facilities with high vs. low skilled-birth-attendance (SBA) rates, then modelled the relationship between SBA and Penta3 coverage with correlation and regression, choosing non-parametric tests where normality assumptions failed.
A personal Power BI project outside of work: an interactive, filterable dashboard covering every historical Chelsea FC result by opposition, letting you slice results-to-date against any of 24 opponents and see the win/draw/loss split update live.
National Health Insurance Authority (NHIA), Abuja
Built the centralised project tracker for NHIA's active health insurance initiatives, lifting cross-team visibility by 40%, and ship weekly executive dashboards that cut leadership response time by 25%.
High Impact Careers, UK (Remote)
Deployed automated Power BI dashboards that cut manual reporting time by 40%, and used SQL to query, clean and migrate data across systems.
Quest Oil Group, Lagos
Analysed sales and supply trends behind a 200% revenue increase from data-backed vendor selection, and ran procurement analytics on contract terms.
Jumia Nigeria, Lagos
Reconciled rider payment records, catching discrepancies that improved payment processing time by 20%, and shipped the weekly/monthly ops reports used for forecasting.
Every dashboard starts by cross-checking submissions against each other — summary vs. detail, previous vs. recent — before a single number gets published.
Discrepancies get a formal error log with a colour-coded reference key, so the source of a data problem is traceable, not just flagged.
Where a claim about the data matters, it gets a proper hypothesis test and the correct one for the data's shape — not a default t-test.
Dashboards are built for the person in the steering committee meeting, not the analyst — one screen, the numbers that matter, nothing to dig through.
Open to data analyst roles and short-term reporting or dashboard projects in health, insurance and programme monitoring.