Data Analyst

Key Responsibilities:

● Apply inventory planning logic to optimize inventory allocation.

● Analyze store-SKU performance, trigger orders, and replenishment models.

● Write and optimize SQL queries for aggregation and inventory analysis.

● Perform data cleaning, transformation, and analysis using Python/pandas.

● Develop PyQt tools to visualize and manage store-level data.

● Create and maintain Excel analyses and PowerBI/Looker Studio dashboards.

● Prepare ad-hoc reports to support decision-making.

● Leverage modern AI-driven analytical techniques to enhance productivity and insights in

a responsible and confidential manner.

Requirements:

● SQL, Python/pandas, and PyQt skills; Machine Learning is a plus.

● Solid understanding of inventory planning concepts.

● Advanced Excel skills; experience with PowerBI/Looker Studio/BigQuery is a plus.

● Detail-oriented, problem solver, and able to work with large datasets.

Preferred Qualifications:

● Degree in Data Science, Supply Chain, Computer Science, Statistics, or related fields.

● Experience in retail operations and inventory planning.

● Fresh graduates are encouraged to apply.