Quality Assurance Specialist; BI

What INNIO offers you

• Young & supportive team - in a fast-growing international business environment
• Learn & develop yourself - help you craft your career path with (INNIO learning, free language courses according to business needs
• Hybrid working - 50% Office, 50 % Home Office with flexible working hours
• Cafeteria package with various options - SZÉP Card, Cash option, Nursery & kindergarten support
• Medicover Spring White Package- from the first day of employment
• Easily accessible location - in the heart of the most vibrant campus area in Budapest (location: 13rd District, easy to approach by Metro Line
  3)
• Take a break - Recharge your batteries with free coffee and tea selection in the kitchen area
• Live an active lifestyle – activate your AYCM pass

QA Specialist plays a pivotal role in ensuring that quality standards are met and exceeded. You’ll work closely with data engineers, analysts and BI developers. A proactive approach to identify and solve potential issues before they have an impact is pivotal.

• Develop and execute test plans, test cases, and test scripts for data pipelines and analytics dashboards
• Define and monitor data quality KPIs to track improvements and spot recurring issues
• Validate ETL processes, data transformations, and metric calculations for correctness and consistency
• Identify data quality issues, document defects, and collaborate on resolution strategies
• Automate data validation workflows using Python, or SQL
• Maintain QA documentation and testing standards for reproducibility and continuous improvement
• Partner with analysts and stakeholders to understand business requirements and ensure data aligns with those needs
• Monitor performance and flag anomalies proactively
• Conduct root cause analysis for data discrepancies and recommend long-term fixes
• Advocate for QA best practices across the analytics lifecycle

• Completed university studies with a focus on Business & administration, data science, computer science, information management, statistics, mathematics, or equivalent
• Fluency in English
• 5+ years experience in QA within a data analytics or data engineering context
• Strong command of, at least one programming language (Python preferred)
• Familiarity with ETL tools and data visualization platforms (specifically Tableau)
• Understanding of data warehousing concepts and cloud platforms (specifically
  
  Azure, Unity Catalog)
• Excellent written and verbal communication skills
• Possess excellent problem-solving attitude, and ability to quickly change direction based on updated client specifications or system limitations