Data Analyst – AI Translation Quality

About the role

OnTheGoSystems is developing AI‑driven translation systems and needs a Data Analyst who can turn complex data into actionable insights. This role goes beyond reporting – you will define metrics, investigate root causes, and guide product improvements.

Key responsibilities

• Define and track meaningful metrics for translation quality, AI performance, and user behavior.
• Detect trends, anomalies, and quality issues across language pairs, models, customers and content types.
• Form hypotheses, gather data, test explanations and recommend next steps.
• Extract and combine data from SQL, NoSQL, logs, APIs and CSV exports.
• Validate findings by reviewing translation samples and confirming genuine quality problems.
• Investigate root causes and propose practical improvements to AI models and workflows.
• Evaluate multilingual AI output for meaning, terminology, tone, formality, grammar and consistency.
• Use AI tools, dictionaries and external resources while recognizing when expert linguistic input is required.
• Build repeatable reports, scripts and monitoring processes and communicate results to developers, product managers and linguists.

Required profile

• Strong analytical thinking, curiosity and meticulous attention to detail.
• Ability to work independently, define investigative priorities and turn open‑ended questions into structured analyses.
• Solid understanding of metrics, segmentation, distributions, correlations and the difference between correlation and causation.
• Fluent English and at least one additional European language, with the capacity to assess translation quality.
• Clear written communication and skill in explaining analytical findings to non‑technical stakeholders.

Required skills

• SQL
• Python (or similar scripting language)
• Data extraction and cleaning from SQL/NoSQL databases, logs, APIs and CSV files
• Data analysis and statistical testing
• Experience with AI tools and critical evaluation of their output