ppWe are looking for a bSenior Software Quality Assurance Analyst /b with a strong focus on Data Analytics to ensure the quality, reliability and business value of data-brandcentric products. The role will define and validate KPIs, benchmarks, analytical models, data quality rules, dashboards and reporting outputs, ensuring that users can trust the insights generated by the solutions. /p /brpThe person will work at the intersection of business analysis, data validation and product quality. A key expectation is the use of AI-assisted tools and specification-driven practices to improve analysis, validation, documentation and acceptance criteria definition. /p /brh3Key Responsibilities /h3 /brul /brliDefine, document and validate KPIs, metrics, benchmarking models and analytical requirements. /li /brliTranslate business questions into clear data requirements, quality criteria and acceptance conditions. /li /brliValidate data quality, consistency, completeness and reliability across reporting and analytics outputs. /li /brliSupport the design and evolution of dashboards, reports, semantic models and analytical products. /li /brliAnalyze customer, supplier, financial, operational and market data to identify trends, gaps, opportunities and risks. /li /brliContribute to the definition of acceptance criteria and validation frameworks aligned with specification-driven delivery practices. /li /brliLeverage AI-assisted tools to improve analysis, validation, documentation and quality processes. /li /brliSupport adoption of AI-enabled analytical and reporting capabilities where they improve clarity, productivity or business value. /li /brliCreate clear documentation of metrics, definitions, validation rules and expected analytical behaviours. /li /brliEnsure analytics outputs are understandable, actionable and aligned with business stakeholder needs. /li /br /ul /brh3Required Qualifications /h3 /brul /brliExperience in data analysis, business intelligence,

software quality assurance for data products or related roles. /li /brliStrong analytical mindset and problem-solving skills. /li /brliGood SQL skills and ability to explore, validate and interpret structured datasets. /li /brliExperience with reporting, dashboarding or visualization tools, preferably Power BI. /li /brliAbility to translate business needs into measurable KPIs, validation criteria and analytical specifications. /li /brliExperience using AI-assisted tools to support analysis, validation, reporting, documentation or quality activities. /li /brliFamiliarity with specification-driven methodologies such as OpenSpec or equivalent approaches. /li /brliGenuine interest in AI, analytics innovation and cutting-edge technology. /li /brliStrong attention to detail and commitment to data quality, consistency and business value. /li /brliGood communication skills and ability to explain insights and data issues to technical and non-technical stakeholders. /li /br /ul /brh3Additional Valuable Experience /h3 /brul /brliExperience with benchmarking, business performance analysis or financial/operational analytics. /li /brliKnowledge of data quality frameworks, data lineage, semantic models or data governance practices. /li /brliFamiliarity with Azure Data Analytics services or enterprise data platforms. /li /brliExperience working in Agile, product-oriented and cross-functional environments. /li /brliExperience validating automated insights, generated reports or advanced analytics outputs.

/li /br /ul /brh3What We Offer /h3 /brpWe operate in a rapidly growing multinational environment and provide our teams with: /p /brh3People First /h3 /brpcare and attention to the work environment, to people, and to their individual and professional growth within the Technology organization. /p /brh3Continuous Learning /h3 /brul /brliAccess to top-tier technological training platforms /li /brliAccess to high-quality learning paths through the internal #GROW program /li /brliKnowledge-sharing communities /li /brliCustomized development paths /li /br /ul /brh3International and Cross-functional Projects /h3 /brpopportunities to participate in international and cross-functional projects, ensuring the exchange of knowledge and ideas. /p /brh3Working Methodology /h3 /brpan operational approach based on a collaborative, informal work environment that is open to the exchange of ideas. /p /brh3Benefits /h3 /brul /brliHybrid working model /li /brliFlexible start and end times to support work–life balance /li /brliMeal vouchers worth €8 /li /brliOnline well-being programs /li /brliWelfare platform available to all employees /li /br /ul /brpLocation : Milan and lavoro da remoto /p /brh3Our Interview Practices /h3 /brpTo maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we’re getting to know you—not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process. /p /brpApplicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process. /p /p #J-18808-Ljbffr

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