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What you'll be doing
Develop and maintain financial and operational models to support decision-making across clinical and business functions
Analyse key drivers including service codes, workload, NPR, and cost/ revenue trends
Perform data extraction, transformation, and analysis (ETL) to ensure accuracy and consistency of financial reporting datasets
Build dashboards, automated reports, and performance tracking tools (P&L, IP/OP performance, OT margins, etc.)
Support charge code creation and governance, ensuring alignment with service rules and financial accuracy
Deliver regular financial and management reports with insights on trends, variances, and performance drivers
Monitor and evaluate the financial impact of initiatives and operational changes
Drive automation and improvement of reporting processes using analytics tools and data visualisation platforms
What we're looking for
Bachelor Degree in Finance/ Accounting/ Economics/ Statistics/ Data Science/ Computer Science or related discipline
3 - 5 years of working experience in finance/ financial analytics/ data analytics roles preferably within healthcare finance, operations, or revenue/ cost analysis environments
Strong hands-on proficiency required in SQL, Python, Advanced Excel, Tableau and Power BI
Strong analytical mindset with ability to work with large, complex datasets and financial logic
Experience in financial reporting, performance analysis, or data modelling
Strong problem-solving skills with ability to translate data into actionable insights
Good stakeholder communication skills and ability to work across teams
Self-driven, detail-oriented, and comfortable working independently
Interested applicants, kindly furnish us with your full and detailed resume in MS Words format and click Apply Now button.
We regret to inform only shortlisted candidates will be notified. Applicants who do not possess necessary experience or qualification will still be considered on individual merits and may be contacted for other opportunities.
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JOBSTUDIO PTE. LTD.
EA License No: 10C4754
EA Personnel: Ryan Tan En Long
EA Personnel Reg No: R25158265
Job ID: 146314969