Data Analyst

MedTourEasy Bengaluru

IndiaFresher2h agovia LinkedIn

This job at a glance

Who can apply
Freshers and up to 1 year
Must know
Data analysisStatisticsData visualizationSQLExcelPower BI
Work
On-site in India
Pay
Not stated by the employer.
Skill demand
Data analysis89%Data visualization71%SQL67%Statistics64%of 98 similar fresher jobs posted in India this week
Listed
4 Nov 2026 · still open

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About the Role

MedTourEasy provides guidance and data to help individuals and organizations evaluate healthcare options worldwide. This remote traineeship Data Analyst program focuses on supporting data-driven decision-making for global healthcare insights and provider solutions. Team members have the opportunity to contribute to projects that impact healthcare accessibility and quality across borders.

Key Responsibilities

  • Collect, clean, and organize datasets from various sources.
  • Perform exploratory data analysis.
  • Generate basic statistical summaries.
  • Assist in building and refining data models.
  • Prepare visualizations.
  • Create clear reports or dashboards to communicate findings to internal teams and partners.
  • Collaborate with cross-functional colleagues.
  • Document methodologies.
  • Ensure data accuracy and consistency.

Requirements & Tech Stack

  • Excel, SQL, or basic data visualization platforms (e.g., Tableau, Power BI) is beneficial.

Qualifications

  • Strong Analytical Skills and experience applying Data Analytics techniques to interpret and summarize complex information.
  • Working knowledge of Statistics, including descriptive and inferential methods relevant to data-driven decision-making.
  • Understanding of Data Modeling concepts and ability to support the design and refinement of data structures.
  • Clear and effective Communication skills for presenting findings, writing concise reports, and collaborating with diverse teams.
  • Ability to work independently in a remote setting, manage time effectively, and maintain attention to detail.
  • Coursework or training in data science, mathematics, computer science, economics, public health, or a related field is preferred.

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