Highly analytical and detail-oriented Shared Services & Financial Operations Professional with 7 years of corporate experience managing high-volume data validation, account reconciliation, and complex transactional workflows for multinational companies (Manulife and Crawford & Company).
I specialize in bridging the gap between raw business operations and absolute financial data integrity. My core expertise includes full-cycle invoice generation, bill scrubbing, claims data processing, exception tracking, and resolving billing discrepancies to prevent overpayments.
I have heavy hands-on experience navigating top-tier global enterprise resource platforms, allowing me to manage large-scale data logs with a consistent 98%+ accuracy rating under strict SLAs.
TECHNICAL SKILLS & PLATFORMS:
-ERP & Financial Systems: Oracle PeopleSoft ERP, Workday ERP, Automated Work Distributor (AWD), Content Management Systems (CMS)
-Core Capabilities: Invoice Auditing, Account Reconciliation, High-Volume Data Entry, Bill Scrubbing, Root-Cause Discrepancy Analysis
-Data & Communication: MS Excel (Pivot Tables, Advanced Filtering), MS Teams, Outlook, SharePoint
AVAILABILITY & LOGISTICS:
-Commitment: Full-Time (40 hours per week)
-Shift: Adaptable to US (EST/PST), UK, or APAC time zones
-Setup: Fully equipped home office with a reliable high-speed fiber internet connection and power/network backups
I am looking to partner with international business owners and finance teams seeking a mature, independent specialist who can streamline their billing ecosystem with zero hand-holding. Feel free to invite me to an interview!
Experience: 5 - 10 years
Experience: 2 - 5 years
Experience: 2 - 5 years
Experience: 5 - 10 years
Experience: 5 - 10 years
Experience: 5 - 10 years
“I have found someone who is smart, has a great work ethic and is easy to work with.”
Sara Brumfield
SEE MORE REAL RESULTSOnlinejobs.ph "ID Proof" indicates if "they are who they say they are".
It DOES NOT indicate skill level.
ID Proof scores are 0 - 99 with 99 being the best. It is calculated based on dozens of data points.
It's intended to help employers know who they're talking to is real, and not a fake identity.