Data Analytics Intern: ML Insights & BI Dashboards

Johnson Controls; Singapore; On-site; SGD 17,000 - 28,000; Full time

Job summary

Johnson Controls is offering a full-time internship in Singapore for 6 months. You will work under the Director, L&M Services, APAC, supporting growth initiatives, tracking performance and communicating insights to stakeholders.

Strong skills in Power BI, SQL and Python/R, with ETL experience, are highly valued. The role requires pursuing a degree in business, engineering, or data science and excellent communication and analytical abilities.

Qualifications

• Pursuing a degree in business, engineering, or data science & analytics.
• Able to commit to a full-time internship for 6 months.
• Proficient in Microsoft Power BI, Power Query, SQL, Excel, Word and PowerPoint.
• Familiar with Python or R for Exploratory Data Analysis and ML Predictive Analytics.
• Analytical thinking and attention to detail with strong communication skills.
• Salesforce familiarity is a plus; Snowflake experience is preferred.

Responsibilities

• Build and deploy simulation models powered by ML to analyze operations.
• Design and implement BI dashboards using Power BI with DAX measures.
• Use SQL and Power Query for ETL and data modeling from multiple sources.
• Support program management cadence planning, impact capturing and problem solving.

Skills

Power BI

Power Query

SQL

Excel

Word

PowerPoint

Python

R

ML Predictive Analytics

Analytical Thinking

Detail-Oriented

Effective Communication

Salesforce Familiarity

Snowflake

Education

Pursuing a degree in business, engineering, or data science & analytics

Tools

Snowflake

Salesforce

Job description

Johnson Controls is offering a full-time internship in Singapore for 6 months. You will work under the Director, L&M Services, APAC, supporting growth initiatives, tracking performance and communicating insights to stakeholders.

Strong skills in Power BI, SQL and Python/R, with ETL experience, are highly valued. The role requires pursuing a degree in business, engineering, or data science and excellent communication and analytical abilities.