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Salary
$28k – $65k per year (Estimated)
Location
Remote (Estonia, Latvia, Lithuania)
Employment
Contractor
Overview
Company
Impact
Profile match
Lightcast empowers smarter decisions for businesses, education institutions, and governments worldwide. With the world’s most comprehensive database—spanning over 2.5 billion job postings , 800 million career profiles , and 100+ government sources—Lightcast delivers unparalleled insight across 160+ countries. Lightcast is the universal standard in labor market intelligence. A global leader in data, it powers smarter decisions for organizations worldwide.

As a Data Analyst (Lithuanian), you will support Lightcast's global data initiatives by analyzing and improving multilingual data quality. Working closely with Linguistics and Engineering teams, you will help develop parsers, evaluate text classifiers, and translate key taxonomies to ensure we deliver high-quality data to customers across global markets. This is a full-time (40 hours per week) independent contractor position for up to 6 months and requires candidates to provide their own laptop and reliable internet access.

Major Responsibilities:

    • Analyze and improve the data quality of multilingual text classifiers
    • Partner with Linguistics and Engineering teams to develop parsers across multiple languages
    • Translate taxonomies, including Skills, Titles, and Occupations
    • Analyze and clean data using Excel and other data analysis tools
    • Apply language, data, and text analysis expertise to support high-quality global data

Education and Experience:

  • Proficiency in reading and writing Lithuanian required, including an understanding of language syntax and structural analysis
  • Reliable laptop and internet access required
  • Bachelor's degree in Linguistics, Data Analytics, Natural Language Processing (NLP), or a related field preferred
  • Multilingual candidates strongly preferred, particularly those proficient in Latvian or Estonian
  • Experience with Microsoft Excel, including VLOOKUPs, data cleanup, and functions
  • Knowledge of query languages such as SQL
  • Advanced knowledge of rule writing using regular expressions (RegEx)
  • Knowledge of text analysis or machine learning principles
  • Experience with data analysis using tools such as Excel
  • Ability to perform repetitive, detail-oriented work with accuracy and consistency
  • Ability to follow complex instructions, navigate ambiguity, and work independently
  • Strong sense of urgency, organization, and time management
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