포지션 상세
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. 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.
• 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.
• 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.
• Oversee data privacy and compliance.
• 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.
• 8+ years of experience in data planning, data architecture design, and business analytics preferred.
• 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).
• 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.
• Fluent in both Korean and English.
주요업무
• 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.
• 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.
• Oversee data privacy and compliance.
• 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.
자격요건
• Bachelor's degree in a relevant field.• 8+ years of experience in data planning, data architecture design, and business analytics preferred.
• 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).
• 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.
• Fluent in both Korean and English.
