Description
- 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.This role is key in ensuring the accuracy reliability and integrity of data products that drive strategic decisions across Innio. Youll work closely with data engineers analysts and BI developers.A proactive approach to identify and solve potential issues before they having 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 (specificallyAzure 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
Required Experience:
IC
DescriptionWhat INNIO offers youYoung & supportive team - in a fast-growing international business environmentLearn & develop yourself - help you craft your career path with (INNIO learning free language courses according to business needsHybrid working - 50% Office 50 % Home Office with flexible wo...
Description
- 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.This role is key in ensuring the accuracy reliability and integrity of data products that drive strategic decisions across Innio. Youll work closely with data engineers analysts and BI developers.A proactive approach to identify and solve potential issues before they having 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 (specificallyAzure 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
Required Experience:
IC
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