As a Data Analyst on the Linguistics Team, you will be responsible for managing languages assigned to you based on your fluency. Your role involves developing and maintaining these languages to meet Lightcast standards and supporting the creation of new features for various products.
Major Responsibilities:
Analyze and improve data quality of multilingual text classifiers
Work with linguistics and engineering teams to build out new parsers across languages
Translate various taxonomies such as Skills, Titles, and Occupations
Create crosswalks from origin language titles and skills to Lightcast taxonomies
Use SQL for data handling and database management
Education and Experience:
Bachelor’s degree in Linguistics, Data Analytics, NLP, or a related field (preferred)
Familiarity with multinational labor markets (preferred)Strong expertise in linguistics
Proficiency in three or more languages
Solid understanding of syntax and language structure analysis
Experience with Microsoft Excel (vlookups, data cleaning, functions)
Knowledge of query languages like SQL
Understanding of text analysis and machine learning principles
Experience with data analysis tools such as Excel or Python
Proficiency in using RegEx
Lightcast is a global leader in labor market insights with headquarters in Moscow (ID) with 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 is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Lightcast has always been, and always will be, committed to diversity, equity and inclusion. 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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