Title: Catalog Data & Excel Specialist
Company Name: Infoloom Systems Ltd.
Vacancy: --
Age: At most 32 years
Job Location: Anywhere in Bangladesh
Salary: Tk. 20000 - 35000 (Monthly)
Experience:
High attention to detail and accountability.
Ability to follow written standard operating procedures.
Ability to meet daily and weekly production targets.
Willingness to learn new tools and vendor data structures.
Ability to communicate problems instead of silently submitting incorrect data.
Must be comfortable working from the Vatara, Dhaka office.
Clean, standardize and prepare large product datasets for catalog import.
Remove duplicates, extra spaces, broken characters and inconsistent values.
Standardize product names, brands, categories, dimensions, materials, finishes and other attributes.
Map vendor categories to InfoLoom’s standard furniture category structure.
Map product attributes using the approved attribute dictionary.
Review SKUs, product descriptions, image links, prices and specification fields.
Use Excel formulas and data tools to process large spreadsheets efficiently.
Compare vendor data against existing catalog records.
Identify missing, invalid or inconsistent information.
Prepare import-ready Excel or CSV files.
Perform manual product entry and quality checks when required.
Produce daily progress and data-quality reports.
Coordinate with developers when import or data-format issues are identified.
Strong practical knowledge of Microsoft Excel.
Experience with XLOOKUP/VLOOKUP, IF, TEXT, COUNTIF, conditional formatting, filters, sorting and data validation.
Ability to work with PivotTables and Power Query is preferred.
Understanding of CSV files, data types and structured datasets.
Basic SQL or database knowledge is preferred.
Ability to work accurately with large datasets.
Good written English and attention to detail.
Bachelor’s degree in Computer Science, Information Technology, Information Systems, Statistics, Mathematics, Business Analytics or a related subject.
Diploma candidates with strong practical experience may also apply.
Experience in e-commerce, product catalogs, marketplaces or data-entry operations will be an advantage.
Furniture-product knowledge is not required, but willingness to learn furniture categories and terminology is essential.
Candidates must be comfortable using AI tools for research, validation and productivity.