Data Analyst Interns

Singapore Medical Group Limitedsmg.sg; Singapore; On-site; SGD 17,000 - 28,000; Part time

Job summary

Singapore Medical Group Limited is seeking a data analytics intern to assist in data ingestion, preparation, and analytics. You will support ETL workflows, create reports, and collaborate with engineering, product, and business teams to translate data into actionable insights.

A relevant degree is expected, with knowledge of SQL and data visualization tools. This role offers exposure to real-world datasets and dashboards, with opportunities to learn Python or R and AI-assisted tooling in a

Qualifications

• Pursuing or recently completed a degree in data-related fields.
• Basic knowledge of SQL and data querying is required.
• Familiarity with Python, R or other data analysis tools is a plus.
• Exposure to data visualization tools (Power BI, Tableau, Looker Studio) is advantageous.
• Understanding of data structures, databases, and data processing concepts is expected.
• Strong analytical thinking and attention to detail are essential.
• Self-starter with the ability to work independently in a fast-paced environment.

Responsibilities

• Aid in data ingestion from APIs, databases, and external datasets; support ETL workflows.
• Prepare, clean, transform, and organize datasets for dashboards and analyses.
• Contribute to exploratory data analysis and generation of insights for products, marketing, and operations.
• Assist with documenting datasets, workflows, and data structures for accessibility.
• Collaborate with engineering, product and business teams to translate data needs into actionable reports and dashboards.

Skills

Analytical thinking

SQL basics

Python or R

Data visualization tools

Independent/self-starter

Education

Currently pursuing or recently completed degree in Data Science, Computer Science, Statistics, Information Systems, or related fields

Tools

Power BI

Tableau

Looker Studio

Python

R

Job description

Key Responsibilities

1. Data Ingestion & Data Pipeline Support

• Assist in collecting and ingesting data from multiple sources such as APIs, databases, and external datasets
• Support the development and maintenance of data pipelines and ETL workflows
• Help ensure data integrity, consistency, and reliability across systems

2. Data Preparation & Processing

• Clean, transform, and organize datasets for analysis and reporting
• Assist in preparing datasets for dashboards, analytics models, and internal reporting
• Perform data validation and quality checks

3. Data Analytics & Insights

• Conduct exploratory data analysis to identify trends, patterns, and anomalies
• Assist in building reports and visualizations for internal stakeholders
• Help translate raw data into actionable insights for product, marketing, and operational teams

4. Tools & Data Infrastructure Support

• Work with data tools and platforms to support data ingestion and analytics workflows
• Assist in documenting datasets, workflows, and data structures
• Support the team in improving data accessibility and reporting efficiency

5. Cross-Functional Collaboration

• Collaborate with engineering, product, and business teams to understand data requirements
• Support requests for data analysis and reporting
• Communicate findings and insights clearly through reports or dashboards

Required Skills & Tools

• Currently pursuing or recently completed a degree in Data Science, Computer Science, Statistics, Information Systems, or related fields
• Basic knowledge of SQL and data querying
• Familiarity with Python, R, or other data analysis tools is a plus
• Exposure to data visualization tools (Power BI, Tableau, Looker Studio, etc.) is advantageous
• Understanding of data structures, databases, and data processing concepts
• Strong analytical thinking and attention to detail
• Self-starter with the ability to work independently, manage tasks proactively, and adapt in a fast-paced environment

Preferred Qualifications

• Exposure to AI-assisted coding or scripting tools (e.g., Python AI libraries, LLM APIs, or AI copilots) to support data ingestion, automation, or analytics workflows
• Familiarity with using AI tools to accelerate coding, data processing, or analysis tasks
• Comfortable self-learning new tools and technologies, particularly AI or automation tools
• Ability to research, experiment, and independently implement scripts using documentation and online resources