Data Analyst

MedTourEasy AP

IndiaFresher1h agovia LinkedIn

This job at a glance

Who can apply
Freshers and up to 1 year
Must know
Data analysisData visualizationExcelSQLPower BITableau
Nice to have
Statistics
Work
On-site in India
Pay
Not stated by the employer.
Skill demand
Data analysis83%Excel71%Data visualization66%SQL64%of 112 similar fresher jobs posted in India this week
Listed
7 Nov 2026 · still open

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About the Role

MedTourEasy AP is a global healthcare company providing individuals and organizations with information to evaluate international healthcare options. The company delivers analytical solutions to partner healthcare providers, helping them make data-driven decisions and improve patient outcomes. This is a remote traineeship program for a Data Analyst.

Key Responsibilities

  • Assist in collecting, cleaning, and organizing healthcare and operational data from multiple sources.
  • Perform basic data analysis.
  • Prepare statistical summaries.
  • Support the creation of dashboards and reports for internal teams and partner healthcare providers.
  • Help interpret data insights.
  • Contribute to data modeling activities.
  • Communicate findings in clear formats for both technical and non-technical audiences.
  • Document methods.
  • Maintain data accuracy.
  • Collaborate with senior analysts on ongoing projects.

Requirements & Tech Stack

  • Excel
  • SQL
  • Data visualization software (e.g., Tableau, Power BI) is beneficial.

Qualifications

  • Strong Analytical Skills and foundational Data Analytics capabilities.
  • Knowledge of Statistics and experience applying statistical concepts to real-world datasets.
  • Basic Data Modeling skills, including understanding of data structures and relational concepts.
  • Clear and effective Communication skills for presenting data insights and collaborating with cross-functional teams.
  • Ability to work independently in a remote environment, manage time effectively, and handle multiple tasks with attention to detail.
  • Current enrollment in or recent completion of a degree program in Data Science, Statistics, Mathematics, Computer Science, Healthcare Analytics, or a related field is preferred.
  • Interest in global healthcare systems and willingness to learn about healthcare data and regulatory considerations is an advantage.

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