Why Join Us?

Since its founding in Suwon, Korea in 1969, Samsung Electronics has grown into one of the world's leading technology companies and is recognized as one of the top 10 global brands, managing more than 200 subsidiaries worldwide. At Samsung, we believe in empowering people to lead and drive progress. If you are ready to grow with a global leader and make a meaningful impact in the eCommerce landscape, we want you on our team.

A Snapshot of Your Day

• Reviewing key performance metrics and dashboards to track D2C channel performance, ensuring alignment with business objectives.
• Conduct in-depth data analysis using Python and SQL to uncover insights from campaign, funnel, and sales data, presenting findings to stakeholders in a clear and compelling manner.
• Collaborate with cross-functional teams to refine D2C strategies, focusing on optimizing digital channel performance and enhancing consumer experience.
• Develop and maintain ongoing metrics, reports, and dashboards to drive key business decisions, ensuring data accuracy and consistency.
• Analyze retail data to identify trends, develop insights, and prepare actionable recommendations for management, contributing to sales growth and operational efficiency.

How You Will Make an Impact?

• Drive and boost Samsung online sales growth through best-in-class data-driven business analysis, maximizing customer experience and brand presence across s.com.
• Bridge the gap between data and business objectives by interpreting complex datasets and delivering impactful solutions aligned with organizational goals.
• Optimize D2C strategies by analyzing campaign, funnel, and sales data, continuously improving efficiency and effectiveness.
• Convert data into actionable business intelligence for sales & marketing teams, driving revenue growth and enhancing digital channel performance.
• Collaborate with cross-functional teams to align data initiatives with business objectives, ensuring a cohesive approach to achieving sales and growth goals.

What You’ll Need?

• Technical Skills: Proficiency in Python for data scraping, extraction, and analysis; advanced SQL skills for database management and query optimization. Strong understanding of data integration techniques and tools (e.g., ETL processes).
• Analytical & Problem-Solving Skills: Superior math and statistics skills to perform complex data analysis; ability to merge, join, and manipulate datasets to derive meaningful insights.
• Business Acumen: Deep understanding of business operations and strategic objectives; experience in connecting data sources to address business challenges and opportunities.
• Communication & Collaboration: Excellent storytelling skills to present data insights in a clear and compelling manner. Strong collaboration skills to work effectively with cross-functional teams.
• Additional Requirements: Minimum of 8 years of related work experience within a fast-growing eCommerce environment. Conceptual & strategic mindset - ability to multitask efficiently while maintaining high attention to detail. Knowledge of e-commerce trends, competitive landscape, and digital customer experience. Innovative and solutions-oriented mindset.