Intern, Data Analytics

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

What you will do:

The position reports to the Director, L&M Services, APAC and is a key contributing member who will provide exceptional support to program manage various APAC Service growth initiatives and platforms, track, analyze and communicate the performance to our internal and external stakeholders.

How you will do it:

• Harness a combination of Python/R and SQL to build and deploy simulation models powered by Machine Learning tools to analyze business operations, identify regional trends to drive proactive actions, enable accurate revenue forecasting & support operational capacity planning.


• Design & implementation of impactful BI dashboards using PowerBI to analyze market activities and extract leading indicators, utilizing DAX (Data Analysis Expressions) for creating measures providing critical insights that support strategic decision making & enable proactive responses to market dynamics, while also ensuring data accuracy and reliability.


• Utilize SQL and Power Query for data extraction, transformation, and loading (ETL) processes, with the ability to perform data modelling from multiple sources for ease of visualization.


• Data Analysis and Visualization: Interpret business requirements and convert them into insightful visualizations and reports.


• Support in the execution of Program Management plan, including enabling cadence planning, impact capturing & problem solving.

What we look for:

• Pursuing a degree in business, engineering, or data science & analytics from a reputable educational institution.


• Able to commit to a full-time internship for 6 months preferred.


• Proficient in Microsoft Power BI, Power Query, SQL, Microsoft Excel, Word, PowerPoint


• Familiarity with programming languages such as Python or R for Exploratory Data Analysis and ML Predictive Analytics, using these tools for modelling and to deliver deeper insights.


• Analytical Thinking: Ability to apply analytical thinking to dissect complex data and extract meaningful insights relevant to business objectives.


• Detail-Oriented: Keen attention to detail to ensure the accuracy and effectiveness of data visualizations and reports.


• Effective Communication: Strong communication skills to articulate data insights and analysis to both technical and non-technical team members.


• Having practical skills with Salesforce platform would be a plus.


• Familiarity with Snowflake as a cloud data warehouse for storing, processing and analyzing large datasets is preferred