Junior QA Data Analyst

TL;DR

Junior QA Data Analyst (Data Management): Supporting the delivery of high-quality data products and operational workflows with an accent on validating data outputs and ensuring consistency across releases. Focus on analyzing structured datasets, identifying issues, and maintaining accuracy within internal systems.

Location: Must be based in Sofia, Bulgaria (Hybrid role)

Company

A global data and technology company providing insights and analytics for industries including financial services, healthcare, and automotive.

What you will do

• Validate data outputs and execute test plans to ensure high-quality standards.
• Analyze structured datasets to identify and resolve data discrepancies.
• Support production processes through hands-on data processing tasks.
• Maintain data accuracy and consistency across internal systems and project releases.
• Collaborate with senior team members to troubleshoot and improve operational workflows.

Requirements

• Education in a quantitative field such as Computer Science, Mathematics, or Statistics.
• Initial professional experience in data processing or QA-related roles.
• English proficiency required.
• Strong understanding of relational databases and SQL.
• Proficiency in Excel including lookups, pivots, and formulas.
• Knowledge of basic scripting tools like Python, PySpark, or PowerShell.

Nice to have

• Familiarity with ETL concepts and data pipelines.
• Exposure to AWS services such as Airflow, Lambda, or DynamoDB.
• Experience using version control systems like Git.

Culture & Benefits

• Comprehensive social benefits package including health and life insurance, and food vouchers.
• Support for professional development with unlimited access to online training courses.
• Flexible working hours and hybrid home office policy.
• Generous leave policy including 25 days of vacation plus extra days for special occasions.
• Involvement in social responsibility events with dedicated paid time off.