Data Analyst – Platform Usage & Model Performance

About the role

We are seeking a Data Analyst to analyze usage, quality, and performance data across our language services, turning raw data into insights that guide product and model improvement decisions.

Key responsibilities

• Build and maintain dashboards and reports on platform usage, model accuracy, and data quality trends.
• Perform exploratory data analysis on large, multilingual datasets to surface patterns and issues.
• Partner with machine‑learning and engineering teams to identify data gaps, quality issues, and improvement opportunities.
• Translate data findings into clear insights and recommendations for product and leadership stakeholders.
• Maintain documentation, validation checks, and quality standards for key datasets.

Required profile

• Strong SQL skills for querying and analyzing large datasets.
• Proficiency in Python, including data‑analytics libraries such as Pandas, NumPy, and Matplotlib.
• Experience with data‑visualisation tools like Power BI or Tableau.
• Ability to work with large‑scale, unstructured, or multilingual data.

Required skills

• Experience analyzing NLP or speech model outputs, including accuracy metrics and error analysis.
• Familiarity with basic statistics and experimental design, such as A/B testing.
• Exposure to big‑data technologies like Spark or Google BigQuery.
• Knowledge of data‑visualisation platforms (Power BI, Tableau) and data‑cleaning practices.