economicmodeling - Data Analyst (Thai)
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Requirements
• Bachelor’s degree in Linguistics, Data Analytics, NLP, or a related field (preferred). • Fluency in reading and writing and English and Thai, with strong attention to linguistic detail. • Understanding of syntax and structural language analysis. • Proficiency in Microsoft Excel (including VLOOKUPs, functions, and data cleanup). • Working knowledge of query languages such as SQL. • Advanced experience writing and debugging rules using RegEx. • Familiarity with text analysis, NLP, or machine learning fundamentals. • Experience performing data analysis using tools such as Excel and/or Python. • Comfort working with high-volume, repetitive tasks while maintaining accuracy and focus. • Ability to follow complex instructions, navigate ambiguity, and work independently. • Strong sense of urgency, organization, and time management. • Reliable laptop and stable 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.
Responsibilities
• Analyze, evaluate, and improve the quality of multilingual text classifier outputs. • Partner with linguistics and engineering teams to develop and refine language-specific parsers. • Translate and validate taxonomy content such as Skills, Titles, and Occupations from English to Thai (and/or Thai n to English as needed). • Identify patterns in data errors and contribute to ongoing improvements in rules, logic, and workflows. • Document findings clearly and follow established processes to ensure consistency and quality.
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