[Central Retail] Merchandise Data Analysis

This role uses data analysis to enhance sales and operations by leveraging retail data expertise to shape top-level strategies. The Senior Data Analyst is the main point of contact for data analysis, leading efforts to optimize decision-making and performance. Daily, weekly, bi-weekly, and monthly tasks ensure timely and accurate data reporting and analysis.

Expertise on:

• Understanding supply and demand dynamics and utilizing operational insights for strategic planning.
• Collaborating with departments to implement data solutions and provide insights. Leading data projects to analyze business requirements and data solutions and offer insights.
• Created and managed reports, advised on data-driven challenges, and spearheaded projects related to range-sourcing and vendor development.
• Fostering a data-driven culture to achieve strategic goals.
• Developing and maintaining management reports for various functions.
• Analyzing sales data for insights on seasonality, price segmentation, and channel traffic.

Responsible

Data Mining and Cleaning:

Daily: Extract and clean data from various sources, including sales bundles, stock records, COGS, stock movement, and selling prices, to ensure data accuracy and integrity

Building and Providing Data Sources:

Daily: Develop and maintain robust data sources, leveraging systems like GOLD-SAP to support analysis and reporting needs.

Manage Data Reporting:

Daily: Provide updates on key performance metrics as needed.

Weekly: Generate comprehensive reports on sales performance, category-family-subfamily performance, traffic trends, top rankings, range style, and strategic insights.

Bi-weekly: Present insights in a clear and actionable manner using data visualization techniques.

Monthly: Prepare detailed monthly reports summarizing key findings and strategic recommendations.

Manage Dashboard:

Daily: Monitor and maintain dynamic dashboards to track sales and stock performance.

Weekly: Update dashboards with the latest data and insights.

Monthly: Review and refine dashboard design and functionality as needed.

Customizing Ad-hoc Analyses:

As needed: Collaborate with stakeholders to understand business needs and customize ad-hoc analyses on product segmentation, inventory status, and campaign performance.

(Commercial Calendar activities), EPR…as requirement

• A bachelor’s degree or higher in economics, information systems, or a relevant field
• At least three years of experience as a data analyst or a similar role in a commercial environment
• Proficiency in SQL, relational databases, and data modeling techniques
• Competency in at least one BI application (Power BI, Tableau, Qlik), preferably Microsoft data and BI applications
• High-level analytical skills with a strong emphasis on data mining and data visualization
• Logical thinking and problem-solving skills
• Excellent communication skills, both written and verbal, in English and Vietnamese
• Experience in working with functional departments such as sales, marketing, finance, etc.
• Ability to work independently as well as collaboratively in a team.