Overview
This internship gives you the opportunity to join a fast-growing health technology company that is transforming how people across Southeast Asia access care. As a Data Analyst Intern, you’ll work closely with teams across the organisation to uncover insights, build intuitive dashboards, and support analytics projects that influence strategic decisions. You’ll gain real experience with modern data tools while contributing to a mission-driven company focused on accessible, high-quality healthcare.
What You’ll Get Out of This Internship
- Hands-on experience working with real-world datasets and supporting analytics initiatives that directly impact business outcomes.
- The chance to sharpen your skills in SQL, Python, R, data visualisation tools, and cloud-based analytics platforms.
- Opportunities to learn from and collaborate with teams across product, operations, technology, and commercial functions.
- Exposure to how data informs decisions in a high-growth digital health environment.
- Professional development in a dynamic organisation, with the possibility of transitioning into a full-time role after the internship.
- A learning environment that encourages exploration, experimentation, and innovation.
Key Responsibilities
- Gather, clean, and analyse datasets using tools such as SQL, Python, and Excel.
- Assist in developing dashboards and reporting assets that communicate insights clearly to internal stakeholders.
- Produce data visualisations using platforms such as Tableau, Power BI, Google Data Studio, Grafana, or Databricks Lakeview.
- Partner with cross-functional teams to ensure analytics outputs support operational and strategic objectives.
- Stay informed about new approaches, tools, and best practices in analytics and propose improvements where applicable.
- Contribute to ad-hoc data requests, research tasks, and special projects as they arise.
Requirements
Must-Haves
- Currently pursuing a Bachelor’s degree in Data Science, Computer Science, Statistics, or a closely related discipline.
- Strong analytical thinking, with the ability to approach problems methodically and with attention to detail.
- Familiarity with data analysis techniques, programming fundamentals, and statistical concepts.
- Working knowledge of SQL and at least one programming language such as Python or R.
- Comfortable working in teams and communicating with stakeholders across different functions.
- A mindset that is curious, adaptable, and eager to learn.
Nice-to-Haves
- Experience using visualisation tools such as Tableau, Power BI, or Google Data Studio.
- Exposure to data engineering concepts or building data pipelines.
- Familiarity with cloud platforms (AWS, Google Cloud, Azure) or distributed data systems.
Who This Internship Is Ideal For
- Students who want hands-on exposure to data analytics in a real operational environment.
- Individuals who enjoy solving problems using data and want to build dashboards, reports, and insights that influence decision-making.
- Aspiring analysts who want to understand how data supports product development, operations, commercial strategy, and user experience.
- Those who thrive in fast-paced, mission-driven companies and want to contribute to meaningful work in digital healthcare.
About the Company
WhiteCoat is an integrated healthcare provider headquartered in Singapore, offering a unified digital and in-person care experience. Since launching in 2018, the company has built a platform that connects users to primary, specialist, and allied health services, along with medication delivery and diagnostics. With a strong presence in Singapore, Indonesia, Malaysia, and Vietnam, WhiteCoat works closely with insurers, corporations, and healthcare partners to bring seamless, affordable care to millions across the region. The organisation prides itself on innovation, collaboration, and a commitment to improving the health and well-being of its users.
Internship Details
- Role: Data Analyst Intern
- Location: Singapore
- Work Arrangement: Hybrid
- Industry: Digital Health / HealthTech
- Commitment: Full-time internship
- Duration: Not specified (typically several months)
- Application Method: Submit your application through the provided platform and include any required documents.
