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 analysis85%Data visualization67%SQL63%Statistics58%of 104 similar fresher jobs posted in India this week
- Listed
- 31 Oct 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.
Key Responsibilities
- Collecting, cleaning, and organizing datasets from various sources.
- Performing exploratory data analysis.
- Generating basic statistical summaries.
- Assisting in building and refining data models.
- Preparing visualizations.
- Creating clear reports or dashboards to communicate findings to internal teams and partners.
- Collaborating with cross-functional colleagues.
- Documenting methodologies.
- Ensuring data accuracy and consistency.
Requirements & Tech Stack
- Familiarity with tools such as 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.