20 publicaciones de empleo destacadas en senior data scientist, dtc (¡Están contratando!)

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Retention Manager for Apparel Subscriptions
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Data Entry Specialist

1840 & Company -
La Plata, Buenos Aires

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Detalles del empleo

Tiempo completo | Por contrato

Descripción completa del empleo

Data Entry Specialist

Anthony´s

Remote, La Plata, Buenos Aires, Argentina

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Non-Negotiable

SkillsRoleWork StructureFirst Language

About the Company

1840 & Company is a global leader in Business Process Outsourcing (BPO) and remote talent solutions, dedicated to propelling businesses forward through our comprehensive suite of services. We specialize in connecting companies with world-class freelance professionals and delivering top-tier outsourcing services, across over 150 countries worldwide.

About the Job

We’re hiring Data Entry Specialists to support our buying and product operations. These roles sit at the intersection of buying, merchandising, and e-commerce: you’ll be responsible for entering purchase order data into our Imagine retail system, setting up new products accurately, and supporting product setup on our Shopify storefront. Fashion industry experience is important here — familiarity with apparel terminology, sizing conventions, and product attributes will make a real difference in the quality and accuracy of your work

Job Overview

Employment Type:
Full-Time Independent Contractor
Department:
Administration
Job Level:
Intermediate

Education & Experience

Years Of Experience:
3 Years
Business Model:
Marketplace For Physical Goods
Direct-To-Consumer (DTC)
E-Commerce
Made-To-Order
Minimum Education Level:

Qualification:
None

Skills

Tools/Platforms:
Microsoft SharePoint
Imagine Retail Management System
Monday.Com
Shopify
Erp / Retail Management Systems
Product Information Management (Pim) Tools
Microsoft Excel
Google Sheets
Additional Skills:
None
Common Methodologies/Frameworks:
Data Quality Assurance
Product Data Management
E-Commerce Catalog Management
Sku & Variant Management
Purchase Order Data Entry Process
Retail Merchandising Operations
Additional Skills:
None
General Skills:
Data Entry
Data Analysis
Data Interpretation
Additional Skills:
None
Soft Skills:
Multitasking
Attention To Detail
Technical Proficiency
Organization
Data Management
Additional Skills:
None

Requirements

Technological Requirements:

Language:
English
Location:
Argentina

Responsibilities

Enter purchase order data from completed buying sheets into our Imagine retail management system with a high degree of accuracy
Set up new products in Imagine, including style details, vendor information, cost and retail pricing, and classification data
Support product setup in Shopify, including titles, descriptions, variants, pricing, and tagging
Verify data accuracy and flag discrepancies or missing information to the buying team
Maintain organized, up-to-date records and follow standardized naming conventions and entry protocols
Communicate clearly with the buying and e-commerce teams regarding incomplete or unclear product information

Required Skills & Qualifications

Prior experience in fashion retail, apparel buying, or a related industry — familiarity with fashion product terminology is required
Experience with retail management or ERP systems
Strong Microsoft Excel skills (data formatting, formulas, navigation across buying sheets)
High typing speed and accuracy; ability to maintain precision over extended data entry sessions
Detail-oriented with a strong sense of ownership over data quality
Good English communication skills for daily coordination with the US-based buying and e-commerce teams
Reliable internet connection and a professional home office setup

Preferred Qualifications

Hands-on experience with Shopify product management
Background in retail buying, merchandising, or inventory management
Experience using shared drives or cloud-based file systems (Microsoft SharePoint) and project management systems (Monday.com)

Working Hours

Monday:
8 A.M. - 5 P.M.
Tuesday:
8 A.M. - 5 P.M.
Wednesday:
8 A.M. - 5 P.M.
Thursday:
8 A.M. - 5 P.M.
Friday:
8 A.M. - 5 P.M.

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