Language Data Analyst

Overview

At Trendyol Growth, we align pricing, discount, and marketing strategies to drive sustainable and scalable growth. We work cross-functionally with teams like Product, Category, and Operations to uncover opportunities and deliver impact. With a strong learning culture and data-driven mindset, we grow together — as individuals and as a team. The language data analyst will join Trendyol’s Global Language Solutions team, with close collaboration with the Quality team. Based in Riyadh, the role provides in-market Arabic expertise to strengthen our automation, MT evaluation, and data pipelines. By combining linguistic knowledge and data analysis, the analyst ensures high-quality Arabic outputs and scalable automation across markets. The position plays a key role in safeguarding cultural relevance while enabling Trendyol’s AI and MT systems to deliver reliable results. Responsibilities

Monitor MT quality, corpus health, and workflow metrics for Arabic and other priority markets. Conduct linguistic and statistical analysis of large datasets to improve quality and coverage. Build dashboards and reports to track data health, error rates, and throughput. Collaborate with engineering and quality teams to validate MT / LLM outputs and suggest fixes. Provide linguistic input into prompts, pipelines, and automation frameworks. Analyze Arabic content for gaps in terminology, cultural relevance, or bias. Support scalability of global operations by enabling structured, data-backed interventions. Expected Qualifications

Native Arabic speaker with strong command of English. Extensive experience in data analysis, computational linguistics, or NLP roles. Hands-on skills in SQL and Python (Pandas / NumPy); experience with visualization tools. Familiarity with MT / LLM outputs, corpus validation, and multilingual datasets. Strong problem-solving skills with the ability to link linguistic insights to data patterns. Comfortable working in cross-functional, international teams. Experience in e-commerce, tech, or language-quality data projects is a plus.

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