Data Analyst(Bulgarian)

Lightcast

Abbeyville (CO)

On-site

USD 46,000 - 92,000

Full time

14 days+
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Job summary

Lightcast is seeking a Data Analyst specializing in Bulgarian to support multilingual data quality and global initiatives. This independent contractor role collaborates with Linguistics and Engineering teams to develop parsers, evaluate text classifiers, and translate taxonomies.

You will analyze multilingual data, perform data cleaning with Excel, leverage RegEx and SQL, and deliver high-quality datasets for customers across markets.

Qualifications

  • Bulgarian reading and writing proficiency required.
  • Bachelor's degree in a related field preferred.
  • Multilingual candidates strongly preferred (Slovenian noted).
  • Experience with Excel, SQL, and RegEx for data work.
  • Ability to follow complex instructions and work independently.

Responsibilities

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

Skills

Bulgarian language proficiency
SQL
RegEx
Excel
Data analysis
Multilingual capabilities
Attention to detail

Education

Bachelor's degree in Linguistics, Data Analytics, NLP, or related field

Tools

SQL

Job description

As a Data Analyst (Bulgarian), 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 Bulgarian 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 Slovenian
  • 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

Lightcast is a global leader in labor market insights with our headquarters located in Moscow, ID (US) and other offices in the United Kingdom, Europe, and India. We work with partners across six continents to help drive economic prosperity and mobility by providing the insights needed to build and develop our people, our institutions and companies, and our communities.

Lightcast is proud to be an equal opportunity workplace and does not discriminate on the basis of federally protected statuses. Lightcast has always been, and always will be, committed to diversity of thought and unique perspectives. We seek dynamic professionals from all backgrounds to join our teams, and we encourage our employees to bring their authentic, original, and best selves to work.

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