As a Data Analyst (Arabic), 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 8 months and requires candidates to provide their own laptop and reliable internet access.
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.
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Analyze and improve the data quality of multilingual text classifiers
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Partner with Linguistics and Engineering teams to develop parsers across multiple geographies and Arabic dialects
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Translate taxonomies including Skills, Titles, and Occupations
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Analyze and clean data using Excel and other data analysis tools
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Apply language, data, and text analysis expertise to support high-quality global data
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Proficiency in reading and writing Arabic required, including an understanding of Arabic syntax and structural analysis
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Reliable laptop and internet access required
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Knowledge of multiple Arabic dialects preferred
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Knowledge of additional languages preferred
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Bachelor's degree in Linguistics, Data Analytics, Natural Language Processing (NLP), or a related field preferred
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Experience with Microsoft Excel, including VLOOKUPs, data cleanup, and functions
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Knowledge of query languages such as SQL
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Advanced knowledge of rule writing using regular expressions (RegEx)
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Knowledge of text analysis or machine learning principles
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Experience with data analysis using tools such as Excel
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Ability to perform repetitive, detail-oriented work with accuracy and consistency
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Ability to follow complex instructions, navigate ambiguity, and work independently
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Strong sense of urgency, organization, and time management