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Michael Okogu

@michaelokogu

Business Analyst at Amdari Inc improving revenue cycle workflows with dashboards that cut reporting preparation time by 35%.

United Kingdom

Message

At Amdari Inc, I translate stakeholder input into system and process requirements, reducing requirement gaps by 35%. I also built Power BI dashboards that cut monthly reporting preparation time by 35% and improved accounts receivable visibility.

Across Amdari Inc, Octiflex Group, and Capricorn, I’ve worked on healthcare revenue cycle and operational workflows, from billing and claims analysis to process mapping and user acceptance testing. At Octiflex Group, my reporting supported a 12% reduction in average days in accounts receivable.

Experience

Work history, roles, and key accomplishments

Current

Business Analyst

Current

Amdari Inc

Jan 2026 - Present (9 months)

Led documentation of BRD and PRD in Confluence, reducing requirement gaps by 35% on multi-team projects. Analyzed operational and financial datasets using SQL and Excel, delivering Power BI dashboards that reduced monthly reporting preparation time by 35% and improved AR visibility for 5+ stakeholders.

BRD PRD文档撰写 Confluence SQL Excel Power BI Microsoft Visio Lucidchart Jira UAT QA Requirements Gathering Process Mapping Stakeholder Management

Business Analyst

Octiflex Group

Aug 2023 - Dec 2025 (2 years 4 months)

Elicited and formalized business and functional requirements, improving traceability and reducing rework by 30%. Built Power BI reports and operational dashboards to track claim denials and AR aging, enabling operations to reduce average days in AR by an estimated 12%.

Requirements Elicitation Power BI SQL Excel Lucidchart Microsoft Visio Jira Azure DevOps Agile User Stories Acceptance Criteria QA End To End Testing

Business Analyst

Capricorn

Feb 2020 - Jul 2022 (2 years 5 months)

Gathered and documented business requirements from internal support and operations teams, translating recurring incidents into process improvements that reduced average resolution time by 20%. Analyzed incident, SLA, and throughput data using Excel to identify root-cause trends and cut training time for new starters by 25%.