In retail, the team analyzes sales trends, customer behavior, and inventory performance to optimize store operations and pricing strategies.
For consignment, they monitor inventory flow, forecast demand with predictive models, and ensure transparency in revenue sharing.
In fulfillment, we identify opportunities to support sellers by streamlining their operational processes within the warehouse, allowing them to focus on sales and growth.
By designing tailored BI tools, generating automated reports, and collaborating with stakeholders, the team enhances operational efficiency, strengthens partnerships, and optimizes processes to meet customer needs effectively.
Job Description: Develop and implement BI strategies to optimize warehouse business processes and performance.
Be able to lead cross-functional projects, collaborating with stakeholders to identify data needs and deliver solutions.
Design and maintain dashboards, reports, and visualizations using tools like Data Suite.
Conduct in-depth data analysis to identify trends, opportunities, and areas for improvement.
Requirements: Bachelor's degree in Computer Science, Information Systems, or related field; Master's preferred.
Entry-level (1-3 years) business intelligence or data analytics roles.
Expertise in SQL, data warehousing concepts, and ETL processes.
Strong analytical and problem-solving skills with attention to detail.
Excellent communication skills to present insights to technical and non-technical audiences.
Experience in retail, e-commerce, or supply chain analytics is highly desirable.
Job skills required: Data Warehousing, SQL, ETL