IT Data Entry Specialist - Foundational Data

Data Science & AnalyticsRemote


Description

Company Overview:

 

Lean Tech is a rapidly expanding organization situated in Medellín, Colombia. We pride
ourselves on possessing one of the most influential networks within software 
development and IT services for the entertainment, financial, and logistics sectors. Our
corporate projections offer a multitude of opportunities for professionals to elevate their careers and experience substantial growth. Joining our team means engaging with
expansive engineering teams across Latin America and the United States, contributing
to cutting-edge developments in multiple industries.

We are seeking an IT Data Entry Specialist – Foundational Data to support our client’s enterprise data initiatives. This position plays a key role in ensuring data integrity, consistency, and quality across core business systems. The ideal candidate will have strong attention to detail, familiarity with enterprise platforms (SAP, Salesforce, AS400), and a foundational understanding of data operations within a Microsoft Azure ecosystem. This role will collaborate closely with data analysts, engineers, and business stakeholders to maintain accurate master data, support metadata alignment, and contribute to the client’s data lakehouse architecture.

Position Title: Mid IT Data Entry Specialist – Foundational Data 
Location: LATAM

 What you will be doing: 

  • Enter, validate, and maintain foundational and master data (customer, vendor, and product information) across multiple enterprise systems.
  • Support the creation and maintenance of lookup tables, data mappings, and global identifiers to unify data across systems like SAP, Salesforce, and AS400.
  • Collaborate with technical and business SMEs to ensure data accuracy, completeness, and adherence to data dictionary standards.
  • Assist with data documentation, backlog tracking, and sprint updates within Azure DevOps.
  • Contribute to the maintenance of field-level metadata and support alignment between the data dictionary and the gold-layer data model. 
  • Perform data quality checks using Excel and visual validation tools to prepare datasets for SME review. 
  • Support data entry and validation processes related to ongoing Azure Data Lake initiatives and future MDM (Master Data Management) integrations.
  • Uphold confidentiality and data governance standards across all assigned data handling activities.

 

Requirements & Qualifications 
To excel in this role, you should possess: 
● Associate or Bachelor’s degree in Information Technology, Business, or related field. 
● 1–2 years of experience in data entry, data operations, or administrative data roles within IT or analytics environments. 
● Proficiency in Microsoft Excel (lookups, validation, and formatting for data integrity). 
● Exposure to Azure Data Lake or other modern data storage concepts (bronze/silver/gold layers). 
● Ability to work collaboratively within Agile / DevOps environments using Azure DevOps. 
● Excellent organizational skills, accuracy, and commitment to maintaining high data quality standards. 
● English proficiency to collaborate effectively with global teams.
Good To Have: 
● Experience or exposure to data lakehouse architecture and master data management (MDM) concepts. 
● Familiarity with enterprise systems such as SAP, Salesforce, AS400, or similar. 
● Knowledge of Miro, Visio, or Lucidchart for process documentation and data flow mapping.
● Understanding of customer or vendor data modeling and third-party data sources (e.g., DNB, Rigdig).
● Basic understanding of metadata management, data dictionaries, and data quality assurance principles.
● Interest in developing toward a Data Analyst or Data Governance career path. 

 

Why you will love Lean Tech: 
● Join a powerful tech workforce and help us change the world through technology 
● Professional development opportunities with international customers 
● Collaborative work environment 
● Career path and mentorship programs that will lead to new levels. 

 

Join Lean Tech and contribute to shaping the data landscape within a dynamic and growing organization. Your skills will be honed, and your contributions will play a vital role in our continued success. Lean Tech is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.