Data Analytics & Automation Intern

Parfums Christian Dior; Singapore; On-site; SGD 13,000 - 20,000; Full time

Job summary

Parfums Christian Dior in Singapore seeks a 6-month full-time internship (Jan 2027–Jun 2027) in data analytics. You will drive reporting automation, streamline data workflows, and support dashboards for retail and operations.

Proficiency in Power BI, Python or R is a plus, with a diploma/degree in analytics or related field and strong communication skills. You'll work with cross-functional teams to standardize datasets, maintain data quality, and develop SOPs for repeatable processes.

Qualifications

• Diploma or degree in data analytics, data science, or business analytics or equivalent.
• Detail-oriented and organized with ability to manage multiple deadlines.
• Strong communication skills with office and field teams.

Responsibilities

• Drive process efficiency by automating reporting and improving data workflows.
• Identify recurring manual tasks and redesign workflows to reduce cycle time and errors.
• Build automation using Power Query/Power Pivot, Power BI dataflows, and Python.
• Consolidate data into standardized datasets and maintain data quality controls.
• Design and maintain Power BI dashboards and automated reporting packs.
• Maintain SOPs and training materials for new automated workflows.

Skills

Detail-oriented

Organized

Multitasking

Strong communication

Python

R

Education

Diploma/Degree in Data Analytics, Data Science, or Business Analytics

Tools

Excel Power Query/Power Pivot

Power BI dataflows

Python

R

Job description

Parfums Christian Dior in Singapore seeks a 6-month full-time internship (Jan 2027–Jun 2027) in data analytics. You will drive reporting automation, streamline data workflows, and support dashboards for retail and operations.

Proficiency in Power BI, Python or R is a plus, with a diploma/degree in analytics or related field and strong communication skills. You'll work with cross-functional teams to standardize datasets, maintain data quality, and develop SOPs for repeatable processes.