Company Benefits: Competitive Salary HMO on day 1 plus 1 dependent; Additional 1 HMO dependents upon regularization Group life insurance PTO Credits Annual Appraisal Annual Performance Bonus Working Conditions: Amenable to work full-onsite in Eastwood, Quezon City Willing to work in a nightshift schedule SUMMARY: USPI is seeking a Revenue Cycle Data Analyst to provide critical support for ambulatory surgical center (ASC), surgical hospital analytics and reporting for our Revenue Cycle Management (RCM) business unit. This team member will work directly with USPI RCM's Director of Data Analytics and RCM senior leadership and partner with USPI's Business Intelligence and Central Billing Office teams to lead data-driven operational excellence as USPI continues to grow its footprint as the leading national ambulatory surgery management platform. ESSENTIAL DUTIES AND RESPONSIBILITIES Conduct reproducible analyses synthesizing data from multiple sources (billing, scheduling, denials, vendor data) that translate into actionable improvements. Help identify trends, patterns, and opportunities as we continue to grow as a company and incorporate new data feeds. Collaborate with teams within our RCM structure to leverage data to solve business problems and design user-friendly reporting solutions. Evaluate Data Quality, reconcile multiple data sources, and relay results to stakeholders in a clear, actionable manner. Support broader analytics projects by gathering and executing requirements and providing supporting analyses. Develop documentation on new and existing analytics processes and workflows. Perform additional tasks or responsibilities as required to support business needs QUALIFICATIONS: EDUCATION AND EXPERIENCE Bachelor's degree required; master's degree strongly preferred. Areas of study include mathematics, statistics, analytics, healthcare administration, business or related field. Must have at least one year of previous experience in data analytics or accounting, preferably in a healthcare provider setting Demonstrates experience in analytical and computer skills, as well as ability to meet strong deadlines Well-developed interpersonal and communication skills are essential Demonstrated experience using SQL, Python, Google Cloud Platform (GCP), and PowerBI/Tableau/Data visualization tools is a plus.