[2026] Korea - LDB - DDX - Data Architect & Analyst
Seoul, South Korea
- Reference number: 252579
- City & country: Seoul, South Korea
- Date posted: 02/10/2026
- Type of contract: Permanent
- Professional field: Digital Marketing
- Level of experience: 10 to 15 years experience
- Data-Driven Experiences
Come join us at L’Oréal – the #1 beauty company in the world, spread across more than 150 markets worldwide! We've been leading the beauty industry for over 100 years, constantly evolving with the help of data, tech, innovation, and some serious science power.
Together, we tackle big challenges while making sure we stay highly committed to making the world more inclusive and a better place for everyone & our planet. So, let's team up and create the beauty industry of the future together!
Job Title: Data Architect & Analyst, LDB - DDX
WHO WE ARE:
L'Oréal Dermatological Beauty (LDB) is a global dermocosmetics division bridging beauty and health. Partnering with dermatologists worldwide, we offer trusted solutions ranging from skin pathologies to aesthetic care through innovative brands like La Roche-Posay and SkinCeuticals, while championing global access to skin health.
A DAY IN THE LIFE:
- This role is a hybrid data expert responsible for systematically structuring and designing Full-Funnel data (spanning Upper & Lower Funnels) scattered across E-commerce, internal systems, and external agencies, while driving business growth through advanced data analytics and actionable insights.
- We are looking for someone to lead the entire data ecosystem—from planning data marts aligned with business objectives and managing build projects with external specialized agencies, to conducting customer behavior analysis, CRM, and formulating marketing/sales strategies using the built data.
(※ Please note: This position is not a pure software engineering role dedicated to infrastructure hardcoding. It is focused ondata structure planning/design, agency project management, and business analytics.)
1. Data Architecture Planning, Design & Project Leadership
- Define data transformation logics and plan data mart structures for marketing, sales, and CRM analytics.
- Design full-funnel data structures connecting Upper-Funnel (acquisition/ads) to Lower-Funnel (purchase/conversion/customer) data.
- Deliver technical specifications, manage project timelines, and inspect builds to ensure internal/external development teams accurately implement pipelines and environments according to the plan.
- Design optimal data structures and manage analytics environment setups based on a solid understanding of L'Oréal’s internal data platforms and tech stacks.
- Collaborate closely with North Asia and Korea Data Analytics teams.
- Define data quality (DQ) management standards and baseline specifications for core metric reports across the organization/team.
2. Business Data Analytics & Insights Generation
- Conduct regular and ad-hoc analysis of customer, CRM, and marketing performance data by integrating fragmented datasets.
- Analyze full-funnel campaign performance bridging Upper-Funnel (media/ads) and Lower-Funnel (purchase/conversion), and derive optimization plans for marketing efficiency (e.g., ROAS, CAC) by channel and franchise.
- Propose strategic business and marketing action plans through customer lifecycle, LTV, retention, and customer segmentation analysis.
- Define key performance indicators (KPIs) to monitor brand/product franchise growth and analyze purchase conversion and cross-selling trends by category.
- Lead hands-on support and collaboration to empower business units (marketing, sales, etc.) with self-service analytics and data-driven decision-making.
- Oversea data privacy and compliance
3. Cross-Functional Coordination
- Coordinate across all digital functions (media, CRM, advocacy, influencer marketing, content, e-commerce, etc.) from both organizations to ensure seamless data integration.
- Facilitate communication and collaboration among team members from different departments and organizations.
- Resolve conflicts and ensure alignment on project goals and objectives.
WHO YOU ARE:
- Education: Bachelor’s degree in a relevant field
- Years of experience: 8+ years of experience in data planning, data architecture design, and business analytics preferred.
- Experiences:
Data Structuring & Design Competencies:
- Ability to understand the structure of diverse source data (RDB, logs, external APIs, etc.) and plan/design data models tailored to business objectives.
- Hands-on proficiency in validating data structures and writing transformation logic using SQL, BigQuery, Python (or R), Google Cloud Platform, and Power BI.
- Deep understanding of the data ecosystem flow from Upper-Funnel (marketing/ads) to Lower-Funnel (conversion/customer).
Project Leadership & Communication:
- Proven experience in leading projects by clearly communicating data requirements (technical specs) to developers or external agencies.
- Experience analyzing digital domains such as CRM, E-commerce, and media.
- Strong ability to translate business needs (marketing/sales) into data structures and communicate analytical results clearly to non-technical stakeholders.
Other Skills:
- Demonstrate a strong understanding of digital technologies used in media, CRM, advocacy, influencer marketing, content, and e-commerce.
- Possess a solid understanding of data management, analysis, and data integration
- Experience in CRM data analysis, customer segmentation, targeting, and performance analytics.
- Experience in planning and introducing enterprise dashboard architecture using BI tools such as Tableau, Power BI, and Looker.
- Strong understanding of E-commerce and digital marketing data pipelines.
- Strong analytical and problem-solving skills.
- Ability to work effectively in a fast-paced, dynamic, and sometimes ambiguous environment.
- Experience with change management and organizational integration is highly desirable.
- Language: Fluent in both Korean and English
WE ARE ENGAGED & COMMITTED:
We’re committed to guaranteeing inclusive recruitment processes and to advocating for hiring and promoting each candidate in an ethical and equitable way.
The Group strictly prohibits discrimination against any applicant for employment because of the individual’s gender identity or expression, sexual orientation, visible and/or invisible disabilities, socio-economic and/or multicultural origins, health conditions, age, religion or any other characteristics protected by law.
We are proud to be an equal opportunity employer.
(*Please attach your updated Eng. resume when you apply.)
AI Charter: our pact
Why a Pact? At L’Oréal, innovation has been in our DNA for over 115 years. As we invent the future of beauty, we see Artificial Intelligence as a powerful co-pilot, with the firm belief that technology must always serve people. This pact is our commitment to you: we want to be transparent about how we use AI during the recruitment journey, and we invite you to use it in a way that showcases your unique talents. Above all, we believe in a journey that is ethical, transparent, and human.
View our AI Charter (opens in new window)
What’s different
about working at L'Oréal?
People often expect a global company of our size to run on rigid rules and strict playbooks. We don’t. What makes L’Oréal different is our entrepreneurial mindset. Whether you work in tech, finance, supply chain, or marketing, you aren’t here just to follow instructions. You are here to take ownership and shape your own projects from day one.
The pace is fast, and the learning curve is steep. But in return, you get the trust to try new things and the support to make a real impact. If you want a role where your voice actually shapes the work and the chance to work in over 40 worldwide brands, this is where you do it.
You’d be a great fit. We’d love to see you apply.
You can apply to a maximum of three jobs within a rolling 30-day window. Please choose carefully.
See all jobsYou might want to see this next
