About the role

Language Data Analyst improving MT/LLM performance through data-driven frameworks for Romanian and CEE markets. Collaborating with cross-functional teams to optimize language data and automation.

Responsibilities

Monitor MT/LLM quality, corpus health, and workflow KPIs for Romanian and other priority locales; identify trends, anomalies, and root causes.
Design, build, and maintain reporting and dashboards for language data (quality signals, error rates, throughput, coverage, cost, time saved) using SQL and BI tooling.
Own data pipeline health across key sources (e.g., Crowdin/CTMS/CX feedback, translation evaluations, operational request data); drive data harmonization and documentation.
Run linguistic and statistical analysis on large datasets to improve data quality, coverage, and consistency, including terminology and entity consistency in high-impact surfaces (titles, attributes, navigation, support).
Develop and maintain automation to eliminate manual and repetitive work, including workflow orchestration, validation checks, and quality-alert mechanisms.
Partner with engineering, NLP, and Quality teams to validate AI/MT outputs, propose corrective interventions, and support model training and evaluation cycles.
Design and execute experiments and POCs (e.g., provider comparisons, prompt versions, context-aware translation, glossary enforcement); translate findings into recommendations and measurable impact.
Support operational decision-making by sizing opportunities and trade-offs (quality, cost, latency), and by maintaining a clear record of provider selection decisions and configurations.

Romanian native or near-native proficiency; strong command of English required. Additional languages (e.g., Bulgarian, Greek, Turkish, Croatian) are a plus.
Extensive experience in data analysis / data science, computational linguistics, NLP, or language-technology roles with demonstrable ownership of end-to-end analytics and automation.
Strong SQL and coding (e.g. Python/Javascript) skills; experience building data pipelines and automations (e.g., Airflow/n8n/Make or similar).
Experience working with MT and LLM outputs, evaluation methodologies, corpus validation, and multilingual datasets; comfortable with prompt-based workflows and quality measurement.
Proficient in data visualization and reporting (Tableau, Power BI, Looker, or similar) with the ability to translate insights into clear recommendations for stakeholders.
Comfortable operating in cross-functional, international environments; strong communication and stakeholder management skills.
E-commerce, marketplace, search/discovery, or customer experience domain familiarity preferred.

Hybrid working model with flexibility: a schedule that helps you find the right balance between flexibility and team bonding, including work-from-abroad opportunities and a summer working model.
Personalised training allowance and learning opportunities: Use your annual budget for any training or conference of your choice, explore our Learning Management System (LMS) anytime, and join in-person learning sessions offered throughout the year.
Responsibility from day one: Take full ownership from the start in a culture where every voice is heard and valued.
A diverse, international team: Collaborate with global peers across our offices in Berlin, Amsterdam, Dubai, and beyond, in a startup-spirited and collaborative environment.
Opportunities to grow with the best: Tackle meaningful challenges, develop through hands-on experience, and grow with the support of expert guidance and global mentoring.
Meaningful connections beyond tasks: Be part of team rituals, events, and social activities that help us stay connected and inspired.