The Role
Analyze and improve multilingual data quality for Croatian; develop parsers, evaluate text classifiers, translate taxonomies (Skills, Titles, Occupations), clean and analyze data (Excel/SQL/RegEx), and collaborate with Linguistics and Engineering to ensure accurate global data delivery.
Summary Generated by Built In
As a Data Analyst (Croatian), 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 Croatian required, including an understanding of language syntax and structural analysis
- Reliable laptop and internet access required
- Multilingual candidates strongly preferred, particularly those proficient in Bosnian or Serbian
- Bachelor's degree in Linguistics, Data Analytics, Natural Language Processing (NLP), or a related field preferred
- 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 headquarters in Moscow, ID (US) and 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.
Skills Required
- Proficiency in reading and writing Croatian, including language syntax and structural analysis
- Reliable laptop and internet access
- Multilingual proficiency (Bosnian or Serbian)
- Bachelor's degree in Linguistics, Data Analytics, NLP, or related field
- Experience with Microsoft Excel (VLOOKUPs, data cleanup, 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
- 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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The Company
What We Do
Emsi Burning Glass is now Lightcast. Our name is new, but our dedication to providing the world’s best data-driven talent strategies remains the same. We’re going to continue bringing clarity to the labor market, guiding our customers through a complex and changing world and giving them the competitive advantage they demand. Our mission is to unlock new possibilities in the labor market.
