Job Responsibilities:

• Develop and implement advanced customer segmentation and profiling strategies using transactional, customer lifecycle, and e-commerce and retail data to optimize DTC marketing outcomes, enhance customer retention, and maximize customer value;
• Design and implement e-commerce, online data, retail data, and marketing intelligence modeling methodologies to drive complex product problem-solving, providing insights for the formulation of business strategies;
• Synthesize data findings into actionable recommendations for both key clients and internal teams, focusing on enhancing e-commerce, retail, and CRM performance;
• Lead the evaluation and optimization of customer communication campaign performance (e.g., eDM, SMS) with a particular focus on e-commerce and retail metrics and KPIs;
• Utilize data visualization tools to simplify complex data sets and trends, ensuring efficient tracking and understanding of e-commerce and retail performance;
• Streamline data processing and reporting workflows, incorporating automation where possible to drive efficiency and accuracy;
• Collaborate with business stakeholders to pilot and implement Customer Data Management (CDM) projects, ensuring a deep understanding of business requirements related to e-commerce and retail;
• Handle daily operations of Data Management Platforms, ensuring optimal performance and data accuracy;
• Develop and manage dashboard and data visualization projects tailored to meet client requirements and business objectives;
• Promote a culture of continuous learning and adaptation, encouraging the team to embrace new technologies and tools to optimize work.
   

Job Requirement:

• Bachelor's degree in Computer Science, Mathematics, Statistics, or a relevant discipline;
• Minimum 3 years of experience in e-commerce, retail, and consumer insight. 
• Candidates with more experience can be considered as Manager;
• Knowledge in data-driven marketing and CRM will be a bonus;
• Experience in e-commerce platforms and complex product modeling will be highly regarded;
• Strong business acumen, with the ability to interpret data trends and communicate succinct conclusions to internal teams and clients, particularly at the executive level;
• Proactive, self-motivated individual with excellent communication and interpersonal skills and a high sense of responsibility;
• Advanced proficiency in Microsoft Excel;
• Hands-on experience with SQL, Adobe Omniture, Google Analytics, Power BI/Tableau is preferred;