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Linguistics Data Analyst - Remote - UK

Lightcast Enterprise

United Kingdom

Remote

GBP 30,000 - 60,000

Full time

24 days ago

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Job summary

An established industry player seeks a driven Data Analyst to join its Linguistics team. This role offers a unique opportunity to leverage your multilingual skills and linguistic knowledge to enhance language data across global products. You will analyze and improve data quality, collaborate with engineering teams, and contribute to the development of language parsers. If you are passionate about linguistics and data analysis, this position provides a platform to make significant contributions to cutting-edge technology and influence the evolution of language data on a global scale.

Qualifications

  • Strong linguistics knowledge required, including syntax and structural analysis.
  • Competency in three or more languages is essential for this role.

Responsibilities

  • Analyze and enhance the data quality of multilingual text classifiers.
  • Collaborate with teams to develop and optimize language parsers.

Skills

Multilingual proficiency
Data analysis
Linguistics knowledge
SQL
Python
Excel
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 unique opportunity to influence the evolution of language data on a global scale, with meaningful contributions to cutting-edge technology.

Major Responsibilities:
  • Analyze and enhance the data quality of multilingual text classifiers
  • Collaborate with linguistics and engineering teams to develop and optimize language parsers
  • Translate and align taxonomies across multiple languages, including Skills, Titles, and Occupations
  • Create crosswalks from source language skills and job titles to Lightcast’s standardized taxonomies
  • Utilize SQL for efficient data handling, querying, and database management
Education and Experience:
  • Bachelor’s degree in Linguistics, Data Analytics, NLP, or a related field (preferred)
  • Strong linguistics knowledge, including syntax and structural analysis of languages
  • Competency in three or more languages — strong preference given to candidates fluent in Danish, Croatian, and Czech
  • Knowledge of multinational labor markets (preferred)
  • Experience with data analysis using tools such as Excel or Python
  • Proficiency in Microsoft Excel, including vlookups, data cleanup, and functions
  • Knowledge of query languages such as SQL
  • Familiarity with text analysis or machine learning principles
  • 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. 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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