Data Analytics Intern: ML-Driven Insights & BI Dashboards

Jci; Singapore; On-site; SGD 10,000 - 17,000; Full time

Job summary

JCI in Singapore is offering a full-time internship to support APAC Service growth initiatives. You will work on program management, ML-powered simulations, and BI dashboards to drive revenue forecasting and capacity planning.

You will use Python or R for analytics and SQL/Power BI for data extraction, visualization, and reporting. Collaboration with stakeholders across APAC is essential for proactive decision making.

Qualifications

• Pursuing a degree in business, engineering, or data science and analytics.
• Available for a full-time internship for 6 months.
• Proficient in Power BI, Power Query, SQL, Excel, Word and PowerPoint.
• Familiar with Python or R for EDA and ML predictive analytics.
• Strong analytical thinking and attention to detail.
• Able to communicate insights to technical and non-technical teams.
• Salesforce familiarity is a plus.
• Familiarity with Snowflake preferred.

Responsibilities

• Build and deploy simulation models powered by ML to analyze operations, forecast revenue, and support capacity planning.
• Design and implement BI dashboards using PowerBI with DAX measures for actionable insights.
• Utilize SQL and Power Query for data extraction, transformation, and loading from multiple sources.
• Interpret business requirements into insightful visualizations and reports.
• Support execution of the Program Management plan, cadence planning, impact capturing and problem solving.

Skills

Analytical Thinking

Detail-Oriented

Effective Communication

Education

Pursuing a degree in business/engineering/data science & analytics

Tools

Power BI

Power Query

SQL

Microsoft Excel

Word

PowerPoint

Python

R

Salesforce

Snowflake

Job description

JCI in Singapore is offering a full-time internship to support APAC Service growth initiatives. You will work on program management, ML-powered simulations, and BI dashboards to drive revenue forecasting and capacity planning.

You will use Python or R for analytics and SQL/Power BI for data extraction, visualization, and reporting. Collaboration with stakeholders across APAC is essential for proactive decision making.