全职 Data Analyst 工作, 薪水, Valiram Federal Territory 公司招聘中 - Ricebowl

About Valiram

Valiram was established in 1935 in Kuala Lumpur, Malaysia, originally specializing in the textile trade. Today, Valiram is Southeast Asia’s leading luxury goods and 360 retail specialist with presence in Malaysia, Singapore, Indonesia, Australia, Thailand, Hong Kong, Macau, Vietnam and the Philippines.

Operating more than 500 stores, a number which continues to grow, the group represents in excess of 200 brands across various categories, from fashion and accessories, timepieces and jewelry, perfume and cosmetics to confectionery and dining concepts.

Learn more about us at *************

Valiram Brands:

• Beauty (Victoria’s Secret, Bath & Body Works, Rituals, Molton Brown)
• Fashion (Michael Kors, Steve Madden, Tory Burch, Chloe, MLB Korea, Giuseppe Zanotti, Charles & Keith, Pedro etc)
• Accessories (Swarovski, Mont Blanc)
• Travel Retail (Hermes, Bvlgari, The Flying Emporium, Coach, Polo Ralph Lauren, Lacoste, Beaute Love, Ion Gizmos, Candy Party, Wear + When, Tumi)
• F&B (Bacha Coffee, Quivo, Godiva, TWG Tea, Laderach, Candy Party)
• Watches (Swiss Watch Gallery, Tudor, Rolex, Cartier, Tissot, Zenith, Bell & Ross, Breitling, Blancpain, Omega)

Job Summary

The Data Analyst turns business data into clear, actionable insights that support operational and commercial decision-making. The role owns the semantic model and reporting layers, building and maintaining reports, dashboards, and semantic models across Power BI, Tableau, Power BI Paginated (SSRS), and Crystal Reports, and serves as the L2 front door for all data-related issues, with breadth across all business modules and the full data lifecycle from source to certified (gold) layer. Fresh graduates are welcome to apply.

Duties & Responsibilities

• Perform data validation and reconciliation across the full data lifecycle, from source systems through bronze/silver to certified (gold) tables, to ensure accuracy, completeness, and consistency of reported figures.
• Develop, maintain, and automate recurring reports covering sales, inventory, AR, supply chain, and other key business metrics.
• Build and maintain interactive dashboards and visualisations in Power BI and Tableau for business users and management.
• Develop and maintain semantic models: Power BI datasets, Tableau data sources, measures, row-level security, and metric definitions.
• Develop and support paginated and operational reports in Power BI Paginated (SSRS) and Crystal Reports.
• Write and optimise SQL queries against the cloud data warehouse (Microsoft Fabric/Databricks) to extract and transform data for analysis.
• Specify certified (gold) layer requirements: define the fact and dimension tables the business needs and sign off on what Data Engineering builds.
• Act as L2 support for data-related issues: diagnose the layer at fault, resolve reporting and semantic model defects, and route source or pipeline issues to the owning team (Data Engineering, POS, ERP, etc.).
• Gather reporting requirements from business users and translate them into technical specifications.
• Support ad-hoc data requests and investigations from stakeholders and management.
• Document solutions through documentation, data dictionaries, diagrams, and code comments.

Requirements

• Education: at least a bachelor's degree in Data Science/Statistics/IT/Computer Science/Information Systems or equivalent.
• Experience: fresh graduates are welcome to apply.
• Experience in a data analyst or reporting-related role, or in retail/e-commerce, is an advantage.
• Technical Skills:

a. Proficient in SQL for querying and transforming data. Hands-on experience with at least one BI/visualisation tool (Power BI, Tableau, or equivalent); exposure to both is an advantage.

b. Familiarity with data warehousing, medallion architecture (bronze/silver/gold), and ETL concepts. c. Exposure to paginated reporting tools (SSRS/Power BI Paginated, Crystal Reports) is an added advantage.

d. Working knowledge of Python or R for data analysis is an added advantage.

e. Understanding of statistical methods and basic forecasting techniques.

• Soft Skills:

a. Strong problem-solving and analytical skills.

b. Attention to detail and a high standard of accuracy.

c. Capability to collaborate with cross-functional teams.

d. Tenacious and self-motivating, able to work with minimal supervision.

e. Ability to manage multiple requests and prioritise according to business needs

f. Good communication and presentation skills.