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A premier healthcare facility in Abu Dhabi is seeking a Financial Analyst to join the finance team. This role involves preparing and analyzing financial statements, managing monthly close operations, and conducting variance analysis. Ideal candidates have a Bachelor's in Finance or related field, along with over 4 years of experience in financial analysis. Proficiency in Excel and experience with Power BI are essential, while additional qualifications like CMA or CPA are preferred. The position offers an opportunity to strengthen financial controls and support healthcare operations.
M42 delivers comprehensive healthcare services across the full continuum of care; from primary care to advanced specialty treatments. Leveraging cutting-edge health technologies and precision medicine, we ensure the highest standards of effectiveness, efficiency, and patient-centered outcomes. With a global presence spanning more than 480 facilities in 27 countries and a dedicated workforce of over 20,000 professionals, M42 is uniquely positioned to redefine the future of healthcare on a global scale.
Danat Al Emarat is a world-class specialty women’s and children’s hospital in the Emirate of Abu Dhabi. It offers advanced medical services across specialties including Neonatology, Pediatrics, Obstetrics & Gynecology, and Women’s Health. The hospital is one of the very few to encompass a dedicated Fetal Medicine Department along with a full-fledged Neonatal Intensive Care Unit (NICU) in the UAE. This has established Danat Al Emarat as a regional referral center for women with high-risk pregnancies, supported by its Level III NICU providing care for the most fragile newborns.
We’re looking for a results-driven Financial Analyst to join our healthcare finance team at Danat Al Emarat -Women & Children’s Hospital. This role is ideal for someone who understands the full financial picture of hospital operations; from balance sheet and P&L to budgeting, cash flow, and monthly close and who isn’t afraid to dig into the numbers, ask the right questions, and challenge assumptions to drive better decisions.