Data Analyst
EPAM Systems
Date: 22 hours ago
City: Abu Dhabi
Contract type: Full time

Are you ready to make a meaningful impact in the healthcare sector? EPAM invites you to join our transformative project in Abu Dhabi, where we're revolutionizing healthcare through groundbreaking digital advancements. As a Data Analyst at EPAM, you'll be at the forefront of this change, playing a crucial role in developing and implementing AI use cases that enhance patient care, ensure compliance and optimize operational efficiency. You'll work with large-scale healthcare datasets, crafting insightful visualizations and reports that drive strategic decisions and facilitate AI-driven initiatives. Bring your expertise in healthcare analytics, SQL and statistical methods and contribute to personalized treatment plans that improve health outcomes for the population. This is an opportunity to blend your analytical skills with innovation in a dynamic team environment, all while enjoying the chance to be part of a vibrant community in Abu Dhabi. If you're passionate about data-driven transformation and ready to work onsite to drive change, EPAM is the place for you. Join us and help shape the future of healthcare.
Responsibilities
Responsibilities
- Analyze large-scale healthcare datasets to extract insights that drive strategic decisions in both clinical and operational contexts
- Develop visualizations and reports using tools like Power BI or Tableau, emphasizing key healthcare metrics
- Collaborate with multidisciplinary healthcare teams to address data needs and facilitate AI-driven initiatives
- Ensure data accuracy and consistency through rigorous validation processes, adhering to established healthcare standards
- 3-5+ years of experience working in data analysis within a healthcare environment
- Proficiency in data analysis and visualization tools used in healthcare analytics
- Strong analytical skills with a comprehensive understanding of healthcare metrics and performance indicators
- Experience in SQL for data querying specific to healthcare datasets
- Knowledge of statistical methods applicable to healthcare data analysis
- Proven ability to translate healthcare data insights into actionable recommendations for clinical and operational improvements
- The role requires working from the office
- International projects with top brands
- Work with global teams of highly skilled, diverse peers
- Healthcare benefits
- Employee financial programs
- Paid time off and sick leave
- Upskilling, reskilling and certification courses
- Unlimited access to the LinkedIn Learning library and 22,000+ courses
- Global career opportunities
- Volunteer and community involvement opportunities
- EPAM Employee Groups
- Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn
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