Linguistics Data Analyst - Remote - Milan, Italy

Burning Glass Technologies; Milano; Remoto; EUR 35.000 - 50.000; Tempo pieno

Descrizione del lavoro

A leading company is seeking a driven Data Analyst to join their Linguistics team in a full-time role. The position involves analyzing multilingual data, optimizing language parsers, and enhancing data quality across various language classifiers. This opportunity presents a chance to influence language data's evolution globally while being part of a diverse team at the forefront of technology.

Competenze

• Bachelor’s degree preferred in Linguistics or Data Analytics.
• Strong linguistics knowledge required.
• Fluency in three or more languages is preferred.

Mansioni

• Analyze and enhance data quality of multilingual text classifiers.
• Collaborate with linguistics and engineering teams.
• Translate taxonomies across multiple languages.

Conoscenze

Linguistics knowledge

Data analysis

SQL

Fluency in multiple languages

Formazione

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

Strumenti

Microsoft Excel

Python

Descrizione del lavoro

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Client:

Burning Glass Technologies

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Other

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EU work permit required:

Yes

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Job Reference:

91b0cfde49ab

Job Views:

8

Posted:

28.06.2025

Expiry Date:

12.08.2025

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Job Description:

We’re looking for a driven, multilingual professional who thrives in fast-paced environments and is excited to contribute to a collaborative, multicultural team. As a Data Analyst on our Linguistics team, you’ll leverage your language expertise to support the development and refinement of language data across our products. Your fluency will directly impact how specific languages are represented and maintained within Lightcast’s global platform. In this role, you’ll play a pivotal part in shaping linguistic features, driving quality standards, and enhancing product functionality.

This is a full-time contract role with the potential to transition into a W-2 employee position based on performance and business needs. It’s a unique opportunity to influence the evolution of language data on a global scale while contributing to cutting-edge technology.

Major Responsibilities:

1. Analyze and enhance the data quality of multilingual text classifiers
2. Collaborate with linguistics and engineering teams to develop and optimize language parsers
3. Translate and align taxonomies across multiple languages, including Skills, Titles, and Occupations
4. Create crosswalks from source language skills and job titles to Lightcast’s standardized taxonomies
5. Utilize SQL for efficient data handling, querying, and database management

Education and Experience:

1. Bachelor’s degree in Linguistics, Data Analytics, NLP, or a related field (preferred)
2. Strong linguistics knowledge, including syntax and structural analysis of languages
3. Competency in three or more languages — strong preference given to candidates fluent in Danish, Croatian, and Czech
4. Knowledge of multinational labor markets (preferred)
5. Experience with data analysis using tools such as Excel or Python
6. Proficiency in Microsoft Excel, including vlookups, data cleanup, and functions
7. Knowledge of query languages such as SQL
8. Familiarity with text analysis or machine learning principles
9. Knowledge of 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. 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.