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Data Analytics & Project Management Intern, Travel Retail

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Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
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Employment
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Employment type in the employer’s posting: Intern
From the employer’s posting

What you’ll work on

Full posting
  • Automate 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 qualifications

Core experience

  • Strong communication skills with both office and field teams
Qualification wording
Strong communication skills with both office and field teams
Apply at LVMH

Posting record

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Status in our records
Live
First seen by us
Sep 25, 202639 days ago
Recorded sightings
27
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 39

Similar jobs usually come down between day 6 and day 47.

From 1,405 similar postings that came down. Coming down is not always a hire.

LVMH is hiring

1 open job

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • R
  • Excel
  • Power BI
  • Power Query
Where the posting names them
- 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.

Your next step

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About the role

We file this job under Analytics Engineer, by the work the posting describes.

Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.

Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.

A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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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Location & working pattern

Singapore, Singapore

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