Data Analyst, AI at Capgemini
Abu Dhabi, , United Arab Emirates -
Full Time


Start Date

Immediate

Expiry Date

25 Sep, 25

Salary

0.0

Posted On

25 Jun, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Cloud, Data Science, It, Sql, Strategy, Design, Healthcare Analytics, Analytical Skills, Operational Improvement, Data Analysis, Computer Science, Technology

Industry

Information Technology/IT

Description

YOUR SKILLS AND EXPERIENCE

  • Bachelor’s degree in computer science, Data Science, or a related field.
  • Proficiency in data analysis and visualization tools used in healthcare analytics.
  • Strong analytical skills, with an understanding of healthcare metrics and performance indicators.
  • Experience with SQL for data querying specific to healthcare datasets.
  • Knowledge of statistical methods applicable to healthcare data analysis.
  • Seasoned experience in data analysis within a healthcare environment.
  • Proven ability to translate healthcare data insights into actionable recommendations for clinical and operational improvement

CAPGEMINI IS A GLOBAL BUSINESS AND TECHNOLOGY TRANSFORMATION PARTNER, HELPING ORGANIZATIONS TO ACCELERATE THEIR DUAL TRANSITION TO A DIGITAL AND SUSTAINABLE WORLD, WHILE CREATING TANGIBLE IMPACT FOR ENTERPRISES AND SOCIETY. IT IS A RESPONSIBLE AND DIVERSE GROUP OF 340,000 TEAM MEMBERS IN MORE THAN 50 COUNTRIES. WITH ITS STRONG OVER 55-YEAR HERITAGE, CAPGEMINI IS TRUSTED BY ITS CLIENTS TO UNLOCK THE VALUE OF TECHNOLOGY TO ADDRESS THE ENTIRE BREADTH OF THEIR BUSINESS NEEDS. IT DELIVERS END-TO-END SERVICES AND SOLUTIONS LEVERAGING STRENGTHS FROM STRATEGY AND DESIGN TO ENGINEERING, ALL FUELED BY ITS MARKET LEADING CAPABILITIES IN AI, CLOUD AND DATA, COMBINED WITH ITS DEEP INDUSTRY EXPERTISE AND PARTNER ECOSYSTEM. THE GROUP REPORTED 2023 GLOBAL REVENUES OF €22.5 BILLION.

GetTheFutureYouWant | www.capgemini.com

Responsibilities

YOUR ROLE

  • Analyze large-scale healthcare datasets to derive insights that inform strategic decision-making in clinical or operational settings.
  • Create visualizations and reports using tools like Power BI or Tableau, focused on healthcare metrics.
  • Collaborate with healthcare teams to address data requirements and support AI-driven initiatives.
  • Ensure data accuracy and consistency through rigorous validation processes, adhering to healthcare standards
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