Job Descriptions:

• Develop and maintain robust databases to manage online and offline sales data.
• Perform detailed data analysis to identify trends, patterns, and insights across online and offline channels.
• Collect, manage, and analyze data from offline sales channels, including retail stores and physical events.
• Lead data projects to enhance operational efficiency and business performance.
• Develop predictive models and algorithms to forecast sales trends and customer behavior.
• Work closely with the e-commerce, marketing, operations, and offline business teams to understand data needs and deliver solutions.
• Utilize advanced data analytics tools and software (e.g., SQL, Python, R, Tableau, Power BI).

Requirements:

• Minimum of 5 years of experience in data management and analysis.
  Proven experience in handling large datasets and complex data systems.
• Experience in the e-commerce or retail industry is preferred.
• Proficiency in SQL, Python, R, and other data analysis tools.
• Strong knowledge of data visualization tools (e.g., Tableau, Power BI).
• Familiarity with data warehousing and ETL processes.
• Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) is a plus