Key Facts

Remote From:

Internships

Entry-level / graduate

English

Hard Skills

Data Warehouse Architectures SQL (Programming Language) Descriptive Statistics Data Modeling Data Quality Assessment Data Security Code Analysis Data Transformation Database Normalization Data Modeling ETL (Extract Transform Load) Data Cleansing Look Development Business Intelligence Tools Data Visualization Stakeholder Communications

Other Skills

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Data Reporting
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Problem Reporting
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Accountability
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Communication
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Active Listening
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Time Management
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Teamwork
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Analytical Thinking
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Detail Oriented
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Quick Learning
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Team Motivation
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Coaching
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Problem Solving

Roles & Responsibilities

Bachelor's degree in a relevant field (e.g., Data Science, Statistics, Computer Science, Public Health) with strong analytical and problem-solving skills.
Proficiency in SQL (ability to write basic queries); familiarity with dbt (or similar data transformation tools); experience with data visualization tools (Looker, Looker Studio, or equivalent) is a plus.
Excellent communication and teamwork skills; ability to learn quickly, adapt to feedback, and ask clarifying questions to ensure accurate results.
Understanding of data warehousing concepts, ETL processes, basic database normalization, and adherence to data security and compliance standards.

Requirements:

Data Modelling Maintenance: Work within established data models to understand data structures and entity relationships; contribute to the maintenance and documentation of existing data models.
Descriptive Analytics and Reporting: Perform descriptive data analysis under the guidance of senior analysts to identify trends and patterns; prepare basic reports and visualizations to present data insights to stakeholders.
Collaboration and Communication: Work closely with data engineers, project managers, and senior analysts to deliver high-quality data solutions; provide timely updates on assigned tasks and proactively communicate any roadblocks; actively participate in team meetings and contribute to a positive and collaborative team environment.
Data Quality and Compliance: Ensure data accuracy by cross-checking data for assigned tasks; adhere to data security and compliance regulations and standards.

Doctor Anywhere

About Doctor Anywhere

At Doctor Anywhere, we are guided by the core belief that healthcare should be simple, accessible and efficient for everyone. Since our launch in 2017, we've been disrupting the healthcare industry by developing innovative solutions to bridge gaps in the healthcare ecosystem. Our services integrate both digital and offline platforms to empower users to take charge of their health. Headquartered in Singapore, we have regional offices in Malaysia, Thailand, Philippines, Vietnam, Indonesia, and India, serving more than 2.5 million (and growing) users across Asia. If you are excited to be at the forefront of health-tech innovation, and passionate about creating meaningful change, join us at https://doctoranywhere.bamboohr.com/jobs/

Founded: 2018

Company size: 201 - 500

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Job description

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 utilize 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 visualizations to help the organization make decisions effectively. You will work in a cross-functional environment, collaborating with Data Engineers, Product Managers, Engineering Teams and Business Stakeholders, providing clean and ready-to-use data to the organization.

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:

Data Modelling & Maintenance:
- Work within established data models to understand data structures and entity relationships.
- Contribute to the maintenance and documentation of existing data models.
Descriptive Analysis & Reporting:
- Perform descriptive data analysis under the guidance of senior analysts to identify trends and patterns.
- Prepare basic reports and visualizations to present data insights to stakeholders.
Collaboration & Communication:
- Work closely with data engineers, project managers, and senior analysts to deliver high-quality data solutions.
- Provide timely updates on assigned tasks and proactively communicate any roadblocks.
- Actively participate in team meetings and contribute to a positive and collaborative team environment.
Data Quality & Compliance:
- Ensure data accuracy by cross-checking data for assigned tasks.
- Adhere to data security and compliance regulations and standards.
Code Review & Best Practices:
- Participate in code reviews to learn from senior analysts and ensure adherence to best practices.
- Contribute to the team’s success by being a proactive team player.

About you

Bachelor's degree in a relevant field (e.g., Data Science, Statistics, Computer Science, Public Health).
Strong analytical and problem-solving skills.
Proficiency in SQL (ability to write basic queries). Experience with dbt (or similar data transformation tools) is a plus.
Experience with data visualization tools like Looker, Looker Studio, or equivalent BI tools is a plus.
Excellent communication skills and ability to work effectively in a team environment.
- Understanding the 'Why': Eager to ask clarifying questions about data requests to ensure accurate and relevant results.
- Coachability & Active Listening: Open to receiving and acting on feedback from senior analysts and team members.
Accountability for Tasks: Demonstrated ability to deliver assigned tasks on time and to the required quality standards.
Comfortable with multi-tasking and strong attention to detail.
Quick learner and proven ability to adapt to situations quickly.
Familiar with data warehousing fundamental concepts and ETL processes;
Understanding basic database normalization concepts and entity relationships, and follows established data models.

About Doctor Anywhere

Doctor Anywhere (DA) is a regional tech-enabled, omnichannel healthcare provider delivering care to 2.5 million users across 6 countries in Southeast Asia. Founded in 2017 with a mission to make healthcare simple, accessible, and efficient for all, DA leverages technology to enable individuals towards preventive, long-term health via holistic offerings including our telehealth app, physical clinics and pharmacies, mental wellness, specialist consults, and also an online health & wellness marketplace for supplements, healthy snacks, home-based health screening and vaccinations.

DA’s goal is to build a regional digital healthcare ecosystem, advanced by the 3,000 GPs and specialists within our regional network, over 1,000 corporate organisations, and 25 regional insurers we work with. Grounded in our motto “Keep Going, Keep Growing”, our team strives towards excellence, with innovation and collaboration at our core, and values diversity in perspectives brought by every member. Join us in our mission to transform Southeast Asia’s healthcare future!

Not for you? We have other opportunities that may interest you or someone you know. Feel free to visit us at our careers page - https://doctoranywhere.com/job-listing/ for more information.