Data Analytics Intern: Azure & Data Platforms

Mercedes-Benz Group; Singapore; On-site; SGD 20,000 - 33,000; Full time

Job summary

Mercedes-Benz Group in Singapore seeks a motivated Data Analytics Intern for a minimum six-month full-time internship starting January 2027. You will work at the intersection of data analytics, data engineering and agile project management within an international environment.

Join a hands-on program across data analytics platforms, Azure services, data governance, and agile tooling like Jira and Confluence, gaining exposure to Databricks, PySpark, Python, SQL, and collaborative project work.

Qualifications

• Pursuing a Bachelor's degree in IT, Business, or related field.
• Motivated, independent team player with positive attitude.
• Excellent written and spoken English.
• Knowledge of project management, IT solution lifecycles, and data analytics.
• Experience with MS Azure (Databricks, ADF) is beneficial.
• Exposure to Python, PySpark or SQL is an added advantage.

Responsibilities

• Data Analytics & Data Platforms: map data landscape and propose automations or improvements.
• Agile Project Management: participate in stand-ups, maintain online collaboration tools, and create project docs.
• Strategic & Team Coordination: support NBx analytics, reporting, and team initiatives for the region or markets.
• Technical exposure: data modelling, PySpark development, Python code catalog, and Databricks basics.

Skills

Data analytics

Python

PySpark

SQL

Education

Bachelor’s degree in IT, Business, or related field

Tools

Azure Databricks

Azure Data Factory

Databricks

Python

PySpark

SQL

Azure DevOps

Job description

Mercedes-Benz Group in Singapore seeks a motivated Data Analytics Intern for a minimum six-month full-time internship starting January 2027. You will work at the intersection of data analytics, data engineering and agile project management within an international environment.

Join a hands-on program across data analytics platforms, Azure services, data governance, and agile tooling like Jira and Confluence, gaining exposure to Databricks, PySpark, Python, SQL, and collaborative project work.