Please note: this position requires relocation to Abu Dhabi for a minimum period of 12 months. Project duration: Softserve will support relocation of selected candidates.
SoftServe is a global digital solutions company with headquarters in Austin, Texas, founded in 1993. Our associates are currently working on 2,000+ projects with clients across North America, EMEA, APAC, and LATAM. Big Data & Analytics Center of Excellence, data consulting and data engineering branch at SoftServe. Starting as a group of three enthusiasts back in 2013, hundreds of Data Engineers and Architects nowadays build Data & Analytics end-to-end solutions from strategy through technical design and PoC to full-scale implementation. We hold top-level partnership statuses with all the major cloud providers and collaborate with many technology partners like AWS, GCP, Microsoft, Databricks, Snowflake, Confluent, and others.
Experienced in data analysis within a healthcare environment for 3–5+ years
Proficient in SQL and data visualization tools such as Power BI or Tableau
Familiar with healthcare metrics, KPIs, and statistical methods used in clinical or operational analysis
Detail-oriented with a strong focus on data accuracy, consistency, and compliance with healthcare standards
Analyze healthcare data to support clinical and operational decision-making
Collaborate with cross-functional teams on AI-driven or analytics-based healthcare initiatives
Contribute to improving data validation and standardization processes across healthcare systems
Address different business and technology challenges, engage in impactful projects, use top-notch technologies, and drive multiple initiatives as a part of the Center of Excellence
Investigate new technologies, build internal prototypes, and share knowledge with the SoftServe Data Community
Upskill with full access to Udemy learning courses
Collaborate with world-leading companies and attend professional events
All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability, sexual orientation, gender identity/expression, or protected veteran status.