Regional Front Office Data Analyst
Singapore, Singapore
LVMH
A family-run group, LVMH strives to ensure the long-term development of each of its Houses in keeping with their identity, their heritage and their expertise.Company Description
Take your career to the next level in the luxury beauty and fragrance industry. Join LVMH Beauty, and become part of a prestigious global brand. As part of the LVMH family, you’ll have the opportunity to showcase your talent and contribute to our dedication to excellence.
LVMH Beauty
Established in 1987, the LVMH Group comprises over 75 exceptional Maisons, each creating high-quality products and respecting their distinctive identities, LVMH is the only group present in all five major luxury sectors, including Wines & Spirits, Fashion & Leather Goods, Beauty, Watches & Jewellery, and Selective Retailing.
All the brands within LVMH Beauty share values of excellence, creativity and innovation. Joining LVMH Beauty means becoming part of an industry leader with exceptional dynamism. Balancing the longevity and development of key lines with the boldness of new creations, LVMH Beauty includes iconic houses like Parfums Christian Dior, Parfums Givenchy, Guerlain, Acqua di Parma, as well as younger brands with strong potential such as Kenzo, Fresh, Benefit or Make Up Forever. Join a team that values individuality, creativity, and a quest for excellence across the diverse portfolio of LVMH Beauty brands.
Job Description
What we offer
- Competitive salary and benefits package
- Opportunities for career advancement within a global luxury brand
- A diverse and inclusive workplace
- Ongoing training and development programs
- Experience the prestige of working with iconic beauty and fragrance brands
Your skills and experience
Familiar with Microsoft SQL Server and have SQL script development skills, experienced in data management
Good Knowledge of Google solution (Google Cloud, BigQuery, Google Analytics) and Microsoft solution (PowerBI, SSAS)
Excellent technical skills – good understanding on data analysis and integration
Good communication skills – Good spoken English required
Willing to manage many different sub-projects at the same time
Willing to work in a multi-brands and dynamic organization
Qualifications
Your day-to-day role
Work as 1st level support to follow-up all BI / POS / CRM data enquiries & issues from Central Head office and Asian Pacific teams – single point of contact for support
Coordinate and communicate with all teams for issues resolution, e.g. Central/Regional/Local IS, Infrastructure, External vendors, to follow up with all related issues in different systems
Lead the efforts to ensure data accuracy, consistency, and integrity within Front Office systems, including POS, CRM, eCommerce, and Digital Tools.
Develop and implement data quality standards and protocols, monitoring and resolving data quality issues in a proactive manner.
Collaborate with IT and other teams to design and implement data integration processes between Front Office systems, ensuring seamless data flow.
Perform data analysis to extract insights, identify trends, and provide actionable recommendations to optimize customer experience and business operations.
Create and maintain data reports, dashboards, and visualizations to provide stakeholders with relevant and timely information.
Work closely with cross-functional teams to understand data requirements and translate them into technical solutions.
Collaborate with third-party vendors and data providers to ensure data accuracy and compliance with regulations.
Provide training and support to front-office staff on data entry, maintenance, and utilization best practices.
Additional Information
Join us
Be part of the legacy of LVMH Beauty, and join us in shaping the future of beauty and fragrance.
https://www.lvmh.com/houses/perfumes-cosmetics/
LVMH Beauty is an equal opportunity employer, embracing diversity and encouraging candidates from all backgrounds to apply.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: BigQuery CX Data analysis Data management Data quality E-commerce GCP Google Cloud Power BI SQL
Perks/benefits: Career development Competitive pay
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