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Linguistics Data Analyst - Remote - UK

Lightcast

United Kingdom

Remote

GBP 35,000 - 55,000

Full time

4 days ago
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Job summary

An innovative company is seeking a driven Data Analyst to join their Linguistics team. In this full-time role, you will leverage your multilingual skills to enhance language data quality across products. Your contributions will directly influence how languages are represented on a global platform, making a significant impact on product functionality. This role offers a unique opportunity to work with cutting-edge technology and collaborate with diverse teams. If you are passionate about linguistics and data analysis, this position is perfect for you.

Qualifications

  • Bachelor’s degree in a relevant field preferred.
  • Strong knowledge of linguistics and data analysis required.

Responsibilities

  • Analyze and enhance multilingual text classifiers.
  • Collaborate with teams to optimize language parsers.
  • Translate taxonomies across multiple languages.

Skills

Data Analysis
Multilingual Proficiency
SQL
Linguistics Knowledge
Excel
Text Analysis
Machine Learning Principles
RegEx

Education

Bachelor’s Degree in Linguistics
Bachelor’s Degree in Data Analytics
Bachelor’s Degree in NLP

Tools

Excel
SQL
Python

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) 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 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.

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