OverviewIn this role you will ensure the quality and reliability of data-centric products, translating business questions into measurable data requirements and validation criteria.
You will work at the intersection of business analysis, data validation, and product quality, shaping dashboards, analytical models, and reporting outputs.
You will leverage AI-assisted tools and specification-driven practices to improve analysis, validation, and documentation, driving clarity and business value.
This position offers the chance to impact data quality and reporting excellence in a multinational, cross-functional setting.
Retribuzione / BenefitsHybrid working model
Flexible start and end times
Meal vouchers
Online well-being programs
Welfare platform
International and cross-functional projects
ResponsabilitàDefine and validate KPIs, metrics, benchmarking models and analytical requirements
Translate business questions into data requirements, quality criteria and acceptance conditions
Validate data quality across reporting and analytics outputs
Support design and evolution of dashboards, semantic models and analytical products
Analyze diverse data sources to identify trends, gaps, opportunities and risks
Contribute to acceptance criteria and validation frameworks aligned with specification-driven delivery
Leverage AI-assisted tools to improve analysis,



validation, documentation and quality processes
Support adoption of AI-enabled analytical and reporting capabilities
Create documentation of metrics, definitions, validation rules and expected analytical behaviours
Ensure analytics outputs are understandable, actionable and aligned with stakeholder needs
Requisiti fondamentaliExperience in data analysis, BI, software QA for data products or related roles
Strong analytical mindset and problem-solving skills
Good SQL skills and ability to explore/validate structured datasets
Experience with reporting/dashboarding/visualization tools, preferably Power BI
Ability to translate business needs into measurable KPIs and validation criteria
Experience using AI-assisted tools to support analysis, validation, reporting, documentation or quality activities
Familiarity with specification-driven methodologies such as OpenSpec or equivalent
Genuine interest in AI, analytics innovation and cutting-edge technology
Strong attention to detail and commitment to data quality and value
Good communication skills with stakeholders of varying technical levels
Strong analytical thinking
Attention to detail
Clear communication
SQL
Power BI
AI-assisted tooling for analysis/validation

📌 Senior Software Quality Assurance Analyst (Milano)
🏢 Wolters Kluwer
📍 Milano