Weekly KPI history across 70+ revenue, acquisition, subscription, audience and programme metrics.
Reporting · Operations · Business Intelligence
Reporting and operations analyst who turns recurring business data into clear decisions.
I maintain weekly KPI reporting across 70+ revenue, marketing and community metrics, coordinate multi-team programme delivery, and build repeatable data workflows with SQL, Python, spreadsheets and BI tools.
Ibadan, Nigeria · UTC+1 · Remote collaboration across UK, European and Gulf working hours
One 35-person, seven-team analytics cohort and a reusable 16-phase operating procedure.
A seven-month paid engagement combining 163,229 records from three platforms, with quality recovery and handover.
Selected work
Selected work, with scope made clear.
Building a dependable weekly KPI reporting layer
Maintain a dated reporting history across 70+ revenue, marketing and community metrics, supported by Streamlit views for webinar and podcast performance and clear reporting for non-technical teams.
KPI reportingStreamlitSpreadsheetsPerformance analysis
Scope and limitations
The evidence supports the reporting history, metric scope and dashboard responsibility. It does not support a causal claim that the reporting produced a specific revenue or completion increase.
Standardizing 163,229 freelance job records
A paid engagement spanning collection, schema standardization, exploratory analysis, duplicate recovery, documentation and direct client handover across multiple phases.
PythonScrapypandasData quality
Scope and limitations
I delivered the dataset and analysis workflow. The client later used that dataset to build a freelance pricing GPT; I did not build the GPT. The 498 DBSCAN clusters were exploratory, not commercial market segments.
UK property prices with sale history
A two-table public dataset with approximately 22,258 properties and 51,276 sale events from 1995 to 2025, built for joins, dates, money cleaning, repeat-sales analysis and explicit quality checks.
Data modellingData cleaningQA
Current boundary
The dataset and analysis brief are public. Planned analyses and dashboard outputs are not presented as complete.
Freelancer.com job-market data
A public demonstration project built from 9,193 Freelancer.com postings, with documented cleaning of pricing, currency, location and role fields for analysis.
ScrapyPythonCleaningDocumentation
Current boundary
This is separate from the private Novae engagement. Its public counts and client context are not combined with that work.
Explain the Data
Clear analysis is part of the work.
Explain the Data is my independent data-education company and publication, founded in April 2025. I publish practitioner-level writing on SQL, reporting, dashboard design, data cleaning and analytical reasoning, with an emphasis on making findings useful to non-technical readers.
About
Dependable reporting, organized delivery and honest data work.
I am Isaac Oresanya, a reporting and operations analyst based in Ibadan, Nigeria. My work sits where recurring business reporting, structured delivery and clear communication meet.
I have worked with Data Career Jumpstart since January 2024 and maintain a two-year weekly KPI history across more than 70 revenue, marketing and community metrics. I also coordinate programme operations and coach analysts on SQL, Python, dashboards and analytical communication.
In a seven-month contract with Novae, I built a repeatable Python workflow that combined 163,229 freelance job records from three platforms, standardized the sources into a common analytical structure, prepared 141,228 analysis-ready records and documented a data-quality rebuild after identifying duplicates.
I am most useful to teams that need dependable reporting, organized workflows and someone who can explain what the data does and does not support.
Contact
Let's discuss reporting and operations work.
For employment conversations, the fastest routes are email and LinkedIn. Project enquiries are welcome as a secondary path.