Key Responsibilities

• Develop and execute data-driven strategies aligned with business objectives
• Analyze CRM data to derive actionable insights on customer behavior and marketing performance
• Collaborate with internal and external stakeholders to lead data-driven marketing initiatives
• Design and develop dashboards and data visualizations to support business decision-making
• Prepare clear and compelling reports and presentation materials to communicate insights
• Engage with business leaders to understand to identify opportunities and challenges to be supported by deep analytics
• Design experiments to test various hypotheses and perform significance testing and statistical modeling
• Implementing advanced analytics/modelling projects, including data ingestion, data management (scripts, modelling), data extraction, and execution of predictive models
• Support the analytics strategy to transition the lab from a reactive model to a predictive and prescriptive model
• Support lead developers & data engineers on Big Data projects in cloud storage management activities, data ingestion, data management (scripts, modelling), data extraction and visualization and support for execution of predictive modelling activities

 
Attitude & Values

• Strategic mindset with a strong focus on business impact
• Proven experience working in complex, cross-functional stakeholder environments
• Strong ability to make fast and informed decisions based on data
• Excellent detailed analytics ability to clearly communicate complex data to the stakeholders
• Proactive, adaptable, and solution-oriented approach to problem-solving

Qualifications (Technical Skills)

• Proficiency in SQL for data extraction and analysis
• Experience with Python and data analysis / machine learning libraries
  (e.g., Pandas, NumPy, Scikit-learn)
• Hands-on experience with data visualization tools
  (e.g., Power BI, Tableau, Looker)
• Strong understanding of data modeling and data architecture

 
Preferred Qualifications

• Solid understanding of data cloud infrastructure and environments
  (e.g., Snowflake, Databricks)
• Experience working with large-scale data platforms
  (e.g., BigQuery, Redshift)
• Experience in digital marketing analytics (e.g., GA, App analytics, MMP)
• Experience with CRM and marketing automation platforms
  (e.g., Salesforce, Braze)
• Experience in A/B testing design and performance analysis

 
Other Skills

• A bachelor’s degree or higher in computer science, data engineering, statistics, mathematics, or a related quantitative field.
• 7+ years of experience in digital analytics, performance analytics, or data-driven roles within complex digital or omnichannel environments.
• A proven experience in digital performance analytics gained within an agency &/or client side.
• Demonstrable knowledge of advanced analytics, integrated digital consumer journey design, web and mobile site strategy, CRM and eCommerce Performance.
• Demonstrable experience leading analytics projects such as MTA, End-to-end Tracking, Performance insights generation.
• Understanding of the importance of Digital Project Management, Digital Account Management, Digital Strategy, Digital Media Planning & Buying, Technology, Digital Insight, Business Analysis and User Experience Architecture.
• High attention to detail with the ability to balance commercial agility and control discipline in a fast‑paced digital environment.
• Proficient in Korean & English (verbal and written) a must.
• Positive mindset with ‘Can do’ spirit.
• Self-motivated and comfortable in a fast-moving organization
• Ability to manage multiple tasks simultaneously.
• Collaborative and able to communicate comfortably with local/global stakeholders.