Data Analyst

About Tarento:

Tarento is a fast-growing technology consulting company headquartered in Stockholm, with a strong presence in India and clients across the globe. We specialize in digital transformation, product engineering, and enterprise solutions, working across diverse industries including retail, manufacturing, and healthcare. Our teams combine Nordic values with Indian expertise to deliver innovative, scalable, and high-impact solutions.

We're proud to be recognized as a Great Place to Work, a testament to our inclusive culture, strong leadership, and commitment to employee well-being and growth. At Tarento, you’ll be part of a collaborative environment where ideas are valued, learning is continuous, and careers are built on passion and purpose.

Job Description :

Role Overview

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

• Reporting & Dashboards: Build and maintain dashboards/reports on platform usage, model accuracy, and data quality trends.
• Exploratory Analysis: Perform exploratory data analysis on large, multilingual datasets to surface patterns and issues.
• Cross-functional Support: Partner with ML/engineering teams to identify data gaps, quality issues, and improvement opportunities.
• Stakeholder Reporting: Translate data findings into clear insights and recommendations for product and leadership stakeholders.
• Data Hygiene: Maintain documentation, validation checks, and quality standards for key datasets.

Technical Requirements

• Strong SQL skills for querying and analyzing large datasets
• Proficiency in Python - experience with data analytics libraries like Pandas, Numpy and Matplotlib.
• Experience with visualization tools (Power BI, Tableau, or similar) Comfort working with large-scale, unstructured, or multilingual data

Mandatory Skills

SQL, Python, data visualization (Power BI/Tableau)

Good to Have

• Experience analyzing NLP/speech model outputs (accuracy metrics, error analysis)
• Familiarity with basic statistics/experiment design (A/B testing)
• Exposure to big data tools (Spark, BigQuery)