06 ago
|
Onthegosystems
|
Barcelona
06 ago
Onthegosystems
Barcelona
At OnTheGoSystems, we're building AI systems that help people translate content across many languages. Our LLM team works with AI-generated translations, user edits, customer feedback, and quality data to continuously improve translation quality. We're looking for a Data Analyst who enjoys solving open-ended problems, finding patterns in complex datasets, and turning data into practical recommendations.
This is not a reporting role. You'll decide what to measure, investigate why things happen, and help the team make better decisions based on evidence.
What You'll Do You'll own analytical problems from start to finish. For example, you may discover that users edit translations much more often for one language pair than another. Instead of simply reporting it, you'll investigate why. You'll form hypotheses, gather the data, test possible explanations, and recommend the next steps.
Your work will include: Defining meaningful metrics for translation quality, AI performance, and user behavior
Monitoring trends and identifying unusual patterns or quality issues
Turning observations into structured investigations and testing multiple hypotheses
Extracting and combining data from SQL databases, NoSQL databases, logs, APIs, and CSV exports
Comparing results across language pairs, AI models, providers, customers, content types, traffic levels, and other dimensions
Separating real signals from coincidence by validating findings with data
Reviewing translation samples to confirm whether patterns represent genuine quality issues
Investigating root causes and recommending practical improvements
Evaluating multilingual AI output for meaning, terminology, tone, formality, grammar, pronouns, and consistency
Using AI tools, dictionaries, and other resources to investigate languages you don't speak, while recognizing when expert linguistic input is needed
Reviewing AI-generated analyses, identifying incorrect conclusions,
and helping improve our automated evaluation systems
Building repeatable reports, scripts, and monitoring processes
Communicating findings clearly to developers, product managers, and linguists Requirements Strong analytical thinking, curiosity, and attention to detail The ability to work independently and define what should be investigated
Experience turning open-ended questions into structured analyses and actionable recommendations A solid understanding of metrics, segmentation, distributions, correlations, and the difference between correlation and causation
Experience writing SQL, Python, or similar scripts to collect, clean, and analyze data
Experience working with multiple data sources, including databases, logs, APIs, and exported datasets
Strong hands-on experience using AI tools while critically evaluating their output
Fluent English plus at least one additional language (preferably European), with the ability to assess translation quality and explain language issues
Clear written communication and the ability to explain analytical findings to non-technical colleagues Bonus points for experience with: Translation quality or localization
Multilingual content
Data visualization or business intelligence tools Benefits You'll work on real AI systems used by customers around the world and directly influence how we measure and improve machine translation quality. This role is idóneo for someone who enjoys exploring difficult questions, testing ideas, and discovering insights that aren't immediately obvious. You'll have the freedom to propose your own analyses and the responsibility to turn them into evidence-based recommendations.
What We Offer 100% remote work
Body & Mind Movement program
Home office computer budget
Kindle with access to our company library
Local public holidays respected
Excellent opportunities for growth
Collaboration with talented colleagues across the globe If you're excited by data, languages, AI, and solving complex problems, apply now, and we'd love to hear from you!
📌 Senior Data Analyst (Barcelona)
🏢 Onthegosystems
📍 Barcelona