Data Extractor

  • Closed
  • US Company | Medium ( employees)
  • LATAM (100% remote)
  • 1+ years
  • Long-term (40h)
  • Enterprise software
  • Full Remote

Required skills

  • Excel
  • Python

Requirements

Must-haves

  • 1-4 years of data-related experience
  • Experience with Excel (sorting, filtering, basic formulas)
  • Basic knowledge of Python
  • Ability to process high-volume datasets with accuracy and consistency
  • Deep attention to detail in repetitive data tasks
  • Deep understanding of data validation and reconciliation processes
  • Strong communication skills in both spoken and written English

Nice-to-haves

  • Startup experience
  • Familiarity with CSV, Shapefiles
  • Spanish language skills
  • Bachelor’s Degree in Data, Computer Engineering, Computer Science, or equivalent

What you will work on

  • This is a high-volume, repetitive, but essential "front-end" role
  • Clean, label, and reconcile raw datasets from government sources
  • Identify anomalies, missing values, and inconsistencies in large datasets
  • Prepare structured data to support predictive modeling workflows
  • Validate datasets against client documentation and resolve discrepancies
  • Enable accurate data pipeline deployment for customer-facing dashboards
  • Review and process high-volume datasets (Excel, CSV)
  • Categorize and annotate data points based on project requirements
  • Collaborate with Customer Success, Data Engineering