Lightcast via Lever

Data Analyst (Greek)

Level not stated Greece

still open verified 1d ago posted 19d ago checked 3h ago

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This is the employer's own posting, not a copy on a job board.

What we know

Is it still open?

Confirmed still open

Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.

We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.

Check this listing's status as JSON

How old is it?

Posted 19d ago

The date the source published, not the day we noticed it (2026-08-26). Last seen at its source 3h ago.

Is it remote?

Remote - Greece

That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.

Who may apply?

Greece

The description states no restriction of its own. This is the source's own tag.

Pay not stated

Similar roles pay £74k–98.8k/yr

Middle 50% of 12 listings that do state pay — Operations · all levels · EMEA · GBP/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.

Skills named in the ad

Data AnalysisExcelMachine LearningNLPSQL

Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.

Carried by 1 source

lever employer's own board first seen 19d ago · last seen 3h ago

The listing

As a Data Analyst (Greek), 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:

Reliable laptop and internet access required

Bachelor's degree in Linguistics, Data Analytics, Natural Language Processing (NLP), or a related field preferred

Multilingual candidates strongly preferred, particularly those proficient in additional languages

Proficiency in reading and writing Greek required, including an understanding of language syntax and structural analysis

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 our headquarters located in Moscow, ID (US) and other 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.