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Data Analytics Trainee

MedTourEasy Navi Mumbai
Abu Dhabi, UAE
Internship
Intern
Onsite
Discovered 5 days ago
Data analyticsData analysisData managementData cleaning and validationData modelingExcel
Free

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Data analyticsData analysisData management
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Company Description

MedTourEasy is a healthcare technology organization that uses digital platforms to improve access to medical services and information.

The company works with healthcare providers and patients to simplify medical processes and support decision-making through data, technology, and user-focused design.

Role Description

The Data Analytics Traineeship is a remote program for individuals seeking practical experience in data-driven decision-making within healthcare technology.

The trainee will work with data, reporting, documentation, and analytical activities under the guidance of senior team members.

Responsibilities

  • Collect, clean, and organize data from internal and external sources.
  • Perform basic analysis to identify trends, patterns, and key insights.
  • Support data modeling activities under the guidance of senior team members.
  • Prepare reports, dashboards, and visualizations for stakeholders.
  • Maintain data documentation and standards.
  • Collaborate with cross-functional teams and learn data management best practices.
  • Continuously develop analytical and technical skills during the traineeship.

Qualifications

  • Apply data analytics and data analysis techniques to business and healthcare problems.
  • Use analytical skills to interpret datasets, identify trends, and draw logical conclusions.
  • Have foundational data management experience or coursework involving cleaning, organization, and validation.
  • Understand basic data modeling concepts and be willing to support model development.
  • Familiarity with spreadsheets and Excel, SQL, Python, or R is highly beneficial.
  • Demonstrate attention to detail, problem-solving ability, and independence in a remote setting.
  • Communicate data findings clearly to non-technical audiences.
  • Currently pursue or recently completed a relevant degree or certification in Data Science, Statistics, Computer Science, Engineering, or a related field.

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