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Executive, Analytics Engineer Job Opening In Singapore, Singapore – Now Hiring LVMH Group


Job description

At Sephora, beauty is about feeling seen, valued, and empowered, individually and collectively.

It is connecting deeply with others, celebrating diversity and inclusivity, unlocking your potential and making a difference every day.

Together, we belong to something beautiful.

Sephora SEA’s omni channel business spans over 8 countries (Australia, India, Indonesia, Malaysia, New Zealand, the Philippines, Singapore and Thailand) with 100+ stores and boasts some global flagships such as ION and Raffles City in Singapore, F88 in Kuala Malaysia and Pitt Street in Sydney.

Sephora SEA is experiencing rapid growth in the region with new store openings and business channels (i.e., Click and collect and marketplace).

We are looking for a passionate Executive, Analytics Engineer to join our data team and shape the future of beauty E‑Commerce in Southeast Asia.

This role reports to our Manager, Analytics Engineer in the tech organisation and will be part of a highly collaborative team delivering our core reusable data model that enables a wide variety of use cases such as report building, insights generation and ML applications.

You will shine here if you enjoy…

  • Acting as the primary owner in translating business needs and complex SQL queries into scalable, reusable data models using DBT
  • Understanding complex business requirements and translating them into effective, insightful dashboards that support decision‑making
  • Building secure and scalable ELT data pipelines in Airflow and GCP
  • Creating and maintaining comprehensive documentation for both core and business‑specific data assets to ensure clarity and consistency across the organisation
  • Ensuring data models are accurate, complete, and reliable by managing the integrity and quality of all data assets
  • Continuously improving the performance of DBT models by applying best practices in query design and data transformations
  • Collaborating with scrum master, product managers, business stakeholders and peers to develop iteratively in sprints following agile processes

We would love to hear from you if you are/have…

  • At least 2 years in the data space as an analytics engineer / data analyst
  • Advanced proficiency in SQL, DBT and Big Query knowledge is a plus
  • Basic knowledge of Python programming
  • Demonstrated experience in building ETL (or ELT), airflow knowledge is a plus
  • Demonstrated ability to understand and translate business requirements into dashboards, DOMO or PowerBI knowledge is a plus
  • Ability to connect the dots between technical implementation work and business context

Here, you will find:

  • Community , in which authenticity is embraced, and the strength of our differences fuels our collective spirit
  • Culture of empowerment, learning & growth, that offers you the tools, space and opportunity to learn, innovate and lead
  • Work that brings fulfilment, from delighting clients every day, to inspiring our industry at large, every action makes a difference

It is in the Sephora DNA to champion a world of inspiration and inclusion where everyone can celebrate their beauty.

You can be yourself, because you are what sets us apart.

Join us and belong to something beautiful.

Sephora is proud to be an equal opportunity workplace for all.

We do not discriminate in recruitment, hiring, training, advancement, or other employment practices.

We celebrate diversity and are committed to creating and fostering an inclusive environment for all employees.

Sephora’s stores offer passionate beauty fans across the world a privileged freedom to touch and test products since 1969.

The House provides a superior selection of quality products and always keeps pace with the latest trends.

The house is built upon the exceptional talents of its beauty professionals who create a perfect environment for adventurous clients who want to experiment and learn.

With the innovative range of products in the Sephora Collection, its distinctive stores and bold commitment to new ideas, the House is always able to surprise and delight its clients.

At every touch point with its clients, in store and online, Sephora provides an unconventional approach which has made it the most loved beauty community in the world.

Crafting Dreams Starts With Yours

At LVMH, people make the difference in the art of crafting dreams.

Our people fuel our dynamic, entrepreneurial culture.

We value collective ambitions, encouraging our talents to push boundaries and champion a curious, audacious state of mind.

Our commitment to excellence is reflected in nurturing every individual with a growth mindset and development opportunities, consistently empowering them to reach their full potential.

We are actively committed to positive impact through an inclusive environment that supports and gives back to our talented community.

Join us at LVMH, where your talent is at the heart of our collective successes.

#J-18808-Ljbffr

Required Skill Profession

Management & Operations


  • Job Details

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Unlock Your Executive Analytics Potential: Insight & Career Growth Guide


Real-time Executive Analytics Jobs Trends (Graphical Representation)

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Are You Looking for Executive, Analytics Engineer Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at LVMH Group adheres to the cultural norms as outlined by Expertini.

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2. Loyalty

3. Impartiapty

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7. Obeying Singapore laws and regulations

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Interview Tips for Executive, Analytics Engineer Job Success

LVMH Group interview tips for Executive, Analytics Engineer

Here are some tips to help you prepare for and ace your Executive, Analytics Engineer job interview:

Before the Interview:

Research: Learn about the LVMH Group's mission, values, products, and the specific job requirements and get further information about

Other Openings

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To prepare for your Executive, Analytics Engineer interview at LVMH Group, research the company, understand the job requirements, and practice common interview questions.

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By following these tips, you can increase your chances of making a positive impression and landing the job!

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