Data Analytics & Project Management Intern, Travel Retail
Singapore, Singapore
- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
Internship — employment source
Employment type in the employer’s posting: Intern
From the employer’s posting
What you’ll work on
Full postingAutomate recurring reports and data consolidation with Power Query, Power Pivot, or Python
Build and maintain Power BI dashboards and automated reporting packs
Consolidate multi-source data into clean, standardized datasets
Set KPI definitions, validation checks, and refresh schedules for backend data
Maintain SOPs, process documentation, and training materials
From the employer’s posting
Build automation using Excel Power Query/Power Pivot, Power BI dataflows, and/or Python (where applicable).
Design and maintain Power BI dashboards and automated reporting packs for stakeholders.
Consolidate data from multiple sources into clean, standardized datasets
Implement data governance: KPI definitions, data validation checks, version control, documentation in line with APAC database.
Maintain SOPs, process documentation, and training materials for new automated workflows.
What you’ll bring
All qualificationsCore experience
- Strong communication skills with both office and field teams
Qualification wording
Strong communication skills with both office and field teams
Tools in this posting
- Python
- R
- Excel
- Power BI
- Power Query
Source — Tool mentions in context
- Identify recurring manual tasks (report preparation, data consolidation, tracker updates) and redesign workflows to reduce cycle time and errors. - Build automation using Excel Power Query/Power Pivot, Power BI dataflows, and/or Python (where applicable). - Support digitization of trackers/forms (e.g., standardized templates, structured input, controlled master data).
- Strong communication skills with both office and field teams - Python/R is a bonus Additional Information
- Diploma/Degree in Data Analytics, Data Science, Business Analytics (or equivalent analytical exposure) - Strong Excel skills (formulas, Pivot Tables, Power Query/Power Pivot); PowerPoint; Power BI - Detail-oriented, organized, able to manage multiple deadlines
Dashboards & Self-Serve Reporting - Design and maintain Power BI dashboards and automated reporting packs for stakeholders. - Create clear metric definitions and user guides to enable self-serve usage.
Posting record
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- Live
- First seen by us
- Sep 25, 2026 · 33 days ago
- Recorded sightings
- 21
- Last seen by us
- Oct 28, 2026
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Job description
Job Description
YOUR MISSION _________
Drive process efficiency by automating reporting and improving data workflows, enabling faster and more reliable decision-making through standardized datasets and dashboards.
CORE RESPONSIBILITIES
Automation & Digitalization
- Identify recurring manual tasks (report preparation, data consolidation, tracker updates) and redesign workflows to reduce cycle time and errors.
- Build automation using Excel Power Query/Power Pivot, Power BI dataflows, and/or Python (where applicable).
- Support digitization of trackers/forms (e.g., standardized templates, structured input, controlled master data).
Data Pipeline & Governance (Light data engineering)
- Consolidate data from multiple sources into clean, standardized datasets (“single source of truth”).
- Maintain backend datasets and ensure refresh schedules and data quality controls that is supporting the real time retail, operations and data dashboards.
- Implement data governance: KPI definitions, data validation checks, version control, documentation in line with APAC database.
Dashboards & Self-Serve Reporting
- Design and maintain Power BI dashboards and automated reporting packs for stakeholders.
- Create clear metric definitions and user guides to enable self-serve usage.
Documentation & Enablement
- Maintain SOPs, process documentation, and training materials for new automated workflows.
- Support ad-hoc analytics requests that are tied to improving repeatable processes.
Deliverables / Success Measures
- Accurate and on-time retail ops reporting packs and dashboards
- Improved data quality and governance (fewer reporting errors, clearer KPI definitions)
- Documented processes/SOPs and measurable time saved via automation or workflow improvements
- Effective coordination support to stores and field team
Qualifications
Requirements
- Able to commit 6 months full time internship from Jan 2027 to Jun 2027
- Diploma/Degree in Data Analytics, Data Science, Business Analytics (or equivalent analytical exposure)
- Strong Excel skills (formulas, Pivot Tables, Power Query/Power Pivot); PowerPoint; Power BI
- Detail-oriented, organized, able to manage multiple deadlines
- Strong communication skills with both office and field teams
- Python/R is a bonus
Additional Information
WHAT CAN WE OFFER? _________
- A challenging role in a fast moving, ambitious environment, with daily learning opportunities and passionate team members.
- Beyond this role, your development is a pillar of our ambition. Parfums Christian Dior, as part of LVMH, offers a Career perspective with a worldwide presence and continuous growth within 75 distinguished Houses.
So, How Far Will You Take Dior?
Company Description
THE CONTEXT _________
Since 1947, the men and women of Parfums Christian Dior have embodied the founding "couturier-perfumer's" unique spirit of excellence, creativity and expertise, both in France and throughout the world. Our House is an open and highly-focused collective, a leader that thrives on the creativity of all its stakeholders. Our collective passion and our heritage, full of authenticity and dream, make us move forward and reinvent ourselves.
By revolutionizing the codes of French style and luxury through perfumes, and combining tradition with daring makeup and innovative skincare, we are reinventing every day the Dior style and its compelling, joyful and absolute beauty. Our stimulating missions give our employees the opportunity to develop new skills, overcome spectacular challenges and reveal their talent.
To go further, with Dior.
Source details
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- Pay
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- Location & working pattern
Singapore, Singapore
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