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[Internship] Data Analyst Intern (VN)

Doctor Anywhere

Doctor Anywhere

IT, Data Science
Ho Chi Minh City, Vietnam · Ho Chi Minh City, Vietnam
Posted on Feb 27, 2025

About the team

The Data Intelligence Hub is a central hub of expertise driving data-driven decisions across the company. Our goal is to promote data driven culture in the company and help business users to effectively utilise data for decision making. This team works closely with our Product, Engineering, Business to develop a deep understanding of how our products are used and influence the company strategy.

About the role

We are seeking an enthusiastic and self-motivated Data Analyst Intern to help the team building a well-structured data warehouse and using it to transform business needs into data visualisations to help the organisation make decisions effectively. You will work in a cross-functional environment, collaborating with Data Analysts, Data Engineers, Product Managers, Engineering Teams and Business Stakeholders, providing clean and ready-to-use data to the organisation.

As a Data Analyst Intern, you will have the opportunity to work alongside experienced data analysts and gain valuable experience in the healthcare industry by contributing to data-driven decision-making, and improving patient outcomes.

Responsibilities:

  • Assist in collecting, cleaning, and organizing healthcare data from various sources.
  • Build data warehouse tables and make sure the quality of data is maintained at a good level.
  • Perform data analysis using Tableau and other tools.
  • Develop reports and presentations to communicate data insights to stakeholders.
  • Collaborate with team members

About you

  • Strong analytical and problem-solving skills.
  • Familiar with SQL and/or passionate to become an expert in SQL
  • Proficiency in Tableau or data visualization
  • Excellent communication skills and a team player
  • Quick learner and proven ability to adapt to situations quickly
  • Comfortable with multi-tasking
  • Currently pursuing a degree in a relevant field (e.g., Data Science, Statistics, Computer Science, Public Health).