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About the Company YesStyle.com is a leading global provider of Korean and other Asian cosmetic products in B2C e-commerce and B2B distribution. With headquarters in Hong Kong and offices in Korea, Japan and Europe, the 25-year-old company currently employs a diverse team of over 500 people. YesStyle.com now has several million customers globally with a focus in North America, Europe, and Australia and we are continuing to grow in LATAM and Middle East. Objective of the Position: To support data-driven decision-making across the organization. This role focuses on maintaining and enhancing data infrastructure, delivering high-quality insights, and leveraging modern analytical and AI techniques to improve efficiency and business outcomes What You'll Do: 1) Data Management, Data Warehouse & Infrastructure Maintain and optimize existing data models, ensuring data accuracy, consistency, and scalability Develop and enhance databases, data collection systems, and data pipelines to improve operational efficiency and data quality Manage and optimize ETL/ELT processes for structured and scalable data integration Monitor and troubleshoot data issues, ensuring reliable data availability for business users 2) Reporting & Business Support Provide standardized reports and dashboards for business stakeholders Handle ad hoc data requests effectively, ensuring timely and accurate delivery Translate business requirements into actionable data insights and reporting solutions Work closely with cross-functional teams to support data-driven decision-making 3) Data Analysis & Projects Conduct in-depth data analysis to identify trends, patterns, and business opportunities Support and execute analytical projects, including working with simulated or test datasets for validation and experimentation Apply statistical methods and analytical frameworks to solve business problems 4) AI & Advanced Analytics Explore and apply AI/ML techniques (e.g., predictive modeling, clustering, classification) to enhance analysis and automation Collaborate on initiatives involving data science, automation, or intelligent reporting Leverage AI tools (e.g., Python libraries or Copilot-type tools) to improve productivity and insight generation What You Have: 1) Education & Experience Bachelor’s degree in Information Systems, Data Science, Computer Science or related field 2–5+ years of experience in data analysis, business intelligence, or related roles 2) Technical Skills Proficiency in SQL and relational database management (e.g., Oracle SQL, PostgreSQL, MySQL) Experience in designing and implementing data warehouse solutions (e.g., Google BigQuery, AWS Redshift) Experience with data visualization tools (e.g., Tableau, AWS Quick) Experience with programming languages such as Python for data manipulation and data analysis Familiarity with ETL processes and data pipeline development 3) AI & Advanced Analytics Experience using AI tools to enhance analytics, automation, and reporting workflows 4) Soft Skills Strong analytical thinking and problem-solving skills Ability to manage multiple requests and prioritize effectively Good communication skills, with the ability to explain technical concepts to business users Detail-oriented with strong data quality awareness 5) Preferred Qualifications Experience working with large-scale datasets or data warehousing solutions Knowledge of cloud data platforms (e.g., AWS) Experience in e-commerce, inventory, or operations analytics is a plus What You'll Enjoy: 5 Days Work Dynamic, International Cultural & Friendly Workplace Performance Bonus Medical / Dental Insurance Staff Purchase Discount Program Training Programs Team Member's Wellness Program Annual Leave, Full Pay Sick Leave, Birthday Leave, Examination Leave Why YesStyle Be part of the international company with offices around the globe: Hong Kong, Seoul, Berlin, and Tokyo Employee discount on the whole product assortment of YesStyle It is now time to find your yes! Interested parties please apply by clicking " Quick apply " with a full resume stating the latest and expected salary. All information provided by applicants will be treated in strict confidence and used only for the recruitment purpose in accordance with employer's data policies.