Health Tech Data Analyst and Business Intelligence Professional

I analyze, clean, standardize, and validate more than one million records to identify inconsistencies and improve data accuracy. This work strengthened confidence in business reporting and improved data accuracy by 95%.

I develop and maintain Power BI KPI dashboards, automate weekly and monthly reporting with SQL and Power BI, and design pipelines that integrate marketing and finance data. I also document KPI definitions, data sources, metadata, lineage, transformation logic, and data-quality standards to ensure metrics are traceable and consistently understood.

I collaborated with cross-functional stakeholders to translate operational questions and reporting requirements into practical analytical solutions. I analyzed sales and customer data in Tableau to identify behavioral patterns, customer trends, and high-value segments, contributing to a 30% increase in conversion rates.

I conducted predictive analysis for customer churn and supported retention strategies that contributed to a 25% reduction in attrition. I also applied descriptive statistics, z-score outlier detection, and data reliability checks, while documenting data sources, methodologies, reporting processes, and business requirements.

I prepared monthly financial reporting summaries using advanced Excel, reconciled expense records, and compiled transaction data to support management decisions. I performed bank and credit-card reconciliations and managed accounts payable and receivable activities for a 286-unit residential portfolio.

I maintained accurate tenant, vendor, property, maintenance, compliance, and financial records in Yardi. I also reviewed contractor proposals, coordinated with residents and vendors, and improved document retrieval time from two hours to 15 minutes through structured documentation.

I prepared financial variance reports using Microsoft SQL Server and Tableau, converting transactional property data into information for budgeting and operational decisions. I analyzed rent collection and occupancy data to identify outstanding accounts and operational issues, supporting a 98% rent collection rate.

I monitored and prioritized over 60 monthly service requests and achieved 90% completion within 48 hours. I managed leasing activities and maintained accurate tenant, financial, leasing, and operational records to support a 95% occupancy rate.

I analyzed operational, safety, and project performance data using Python and Excel to identify trends, monitor risks, and support compliance. I executed system and reporting changes using Python scripting and PL/SQL while maintaining documentation that supported data integrity and operational continuity.

I coordinated statutory and operational reporting, facilitated client workshops, prepared proposals and bid documents, and translated business needs into practical solutions. My commercial analysis contributed to a 30% increase in successful bids, while data-informed stakeholder engagement contributed to a 40% increase in client retention.

I analyzed operational and commercial data using SQL, advanced Excel, Spark, and Power BI, developing more than 50 reports and dashboards for oil and gas, energy sales, and multi-sector projects. I cleaned, transformed, standardized, and validated datasets to improve reporting consistency and reliability.

I designed data pipelines and automated Power BI dashboards, performed forecasting and scenario modelling, and analyzed safety and operational performance to identify risks and improvement opportunities. I standardized data definitions across source systems and communicated findings and recommendations to technical and non-technical stakeholders.

Bachelor's degree completed at the University of Benin in Nigeria.