Data Quality Intern
Jakarta, Indonesia
Luxehouze
Luxehouze is the premier destination for 100% authentic luxury watches in Singapore. Experience safer, quicker, and easier luxury watch shopping with confidence only at Luxehouze. Enjoy our Best Price Program* and let our Concierge Service help...Responsibilities:
Review and correct over legacy data with missing or inaccurate fields.
Input product data on a daily basis according to the required format and established data standards (e.g., product name, SKU, pricing, category, etc.)
Cross-reference internal records and external sources (as applicable) to validate data.
Ensure that all entered data is accurate, complete, and consistent with actual product information.
Perform data validation and double-check entries before and after inputting into the system.
Work with Excel, spreadsheets, and internal tools to update and maintain records.
Assist in documenting data quality rules and data-cleaning processes.
Coordinate with relevant teams (such as merchandising, warehouse, logistic, or sales) to clarify or verify incomplete or incorrect product information.
Support the data/operations team in identifying long-term improvements to reduce data error.
Capable of performing basic data analysis to uncover trends and anomalies.
Requirement & Qualifications:
Available to work full-time for the duration of the internship (3–6 months).
Strong attention to detail and high level of accuracy in data entry.
Basic understanding of inventory, stock movement, or warehouse operations is a plus.
Proficient in Microsoft Excel (e.g., filters, sorting, basic formulas) and familiar with spreadsheets.
Able to follow data formatting guidelines and naming conventions consistently.
Comfortable working with large volumes of product or inventory data.
Good communication skills for coordinating with warehouse, logistics, or merchandising teams.
Self-motivated, reliable, and able to handle repetitive tasks without losing focus.
Knowledge of basic SQL or reporting tools is a plus.
Tags: Data analysis Data quality Excel SQL
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