Senior Software Quality Assurance Analyst

Wolters Kluwer - Financial Services Solutions

Milano

Ibrido

EUR 60.000 - 90.000

Tempo pieno

14 giorni+
Generatore di candidature

Una candidatura apposita per questo posto — un curriculum e una lettera di presentazione personalizzati, perfettamente in linea con l'annuncio.

Supera i filtri ATS

Vantaggi offerti da questo lavoro

Meal vouchers €8
Online well-being programs
Welfare platform
Hybrid working model

Descrizione del lavoro

Wolters Kluwer - Financial Services Solutions is seeking a Senior Software Quality Assurance Analyst focused on Data & Analytics to ensure quality and trust in data-centric products. Lead KPI definition, data validation and AI-enhanced analysis across dashboards and reporting tools, collaborating with business and technical stakeholders in a hybrid Milan environment.

Responsibilities include validating data quality, designing acceptance criteria, and leveraging AI-enabled capabilities to improve

Competenze

  • Experience in data analysis, business intelligence, software quality assurance for data products or related roles.
  • Strong analytical mindset and problem-solving skills.
  • Good SQL skills and ability to explore, validate and interpret structured datasets.
  • Experience with reporting, dashboarding or visualization tools, preferably Power BI.
  • Ability to translate business needs into measurable KPIs, validation criteria and analytical specifications.
  • Experience using AI-assisted tools to support analysis, validation, reporting, documentation or quality activities.
  • Familiarity with specification-driven methodologies such as OpenSpec or equivalent approaches.
  • Genuine interest in AI, analytics innovation and cutting-edge technology.
  • Strong attention to detail and commitment to data quality, consistency and business value.
  • Good communication skills and ability to explain insights and data issues to technical and non-technical stakeholders.

Mansioni

  • Define, document and validate KPIs, metrics, benchmarking models and analytical requirements.
  • Translate business questions into clear data requirements, quality criteria and acceptance conditions.
  • Validate data quality, consistency, completeness and reliability across reporting and analytics outputs.
  • Support the design and evolution of dashboards, reports, semantic models and analytical products.
  • Analyze customer, supplier, financial, operational and market data to identify trends, gaps, opportunities and risks.
  • Contribute to the definition of acceptance criteria and validation frameworks aligned with specification-driven delivery practices.
  • Leverage AI-assisted tools to improve analysis, validation, documentation and quality processes.
  • Support adoption of AI-enabled analytical and reporting capabilities where they improve clarity, productivity or business value.
  • Create clear documentation of metrics, definitions, validation rules and expected analytical behaviours.
  • Ensure analytics outputs are understandable, actionable and aligned with business stakeholder needs.

Conoscenze

Data analysis
SQL
Power BI
AI-assisted tools
OpenSpec
Data quality
Communication
Analytical thinking
Requirement translation
BI dashboards

Strumenti

Azure Data & Analytics
OpenSpec

Descrizione del lavoro

We are looking for a Senior Software Quality Assurance Analyst with a strong focus on Data & Analytics to ensure the quality, reliability and business value of data-centric 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. The 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.

Key Responsibilities
  • Define, document and validate KPIs, metrics, benchmarking models and analytical requirements.
  • Translate business questions into clear data requirements, quality criteria and acceptance conditions.
  • Validate data quality, consistency, completeness and reliability across reporting and analytics outputs.
  • Support the design and evolution of dashboards, reports, semantic models and analytical products.
  • Analyze customer, supplier, financial, operational and market data to identify trends, gaps, opportunities and risks.
  • Contribute to the definition of acceptance criteria and validation frameworks aligned with specification-driven delivery practices.
  • Leverage AI-assisted tools to improve analysis, validation, documentation and quality processes.
  • Support adoption of AI-enabled analytical and reporting capabilities where they improve clarity, productivity or business value.
  • Create clear documentation of metrics, definitions, validation rules and expected analytical behaviours.
  • Ensure analytics outputs are understandable, actionable and aligned with business stakeholder needs.
Required Qualifications
  • Experience in data analysis, business intelligence, software quality assurance for data products or related roles.
  • Strong analytical mindset and problem-solving skills.
  • Good SQL skills and ability to explore, validate and interpret structured datasets.
  • Experience with reporting, dashboarding or visualization tools, preferably Power BI.
  • Ability to translate business needs into measurable KPIs, validation criteria and analytical specifications.
  • Experience using AI-assisted tools to support analysis, validation, reporting, documentation or quality activities.
  • Familiarity with specification-driven methodologies such as OpenSpec or equivalent approaches.
  • Genuine interest in AI, analytics innovation and cutting-edge technology.
  • Strong attention to detail and commitment to data quality, consistency and business value.
  • Good communication skills and ability to explain insights and data issues to technical and non-technical stakeholders.
Additional Valuable Experience
  • Experience with benchmarking, business performance analysis or financial/operational analytics.
  • Knowledge of data quality frameworks, data lineage, semantic models or data governance practices.
  • Familiarity with Azure Data & Analytics services or enterprise data platforms.
  • Experience working in Agile, product-oriented and cross-functional environments.
  • Experience validating automated insights, generated reports or advanced analytics outputs.
What We Offer
  • People First: care and attention to the work environment, to people, and to their individual and professional growth within the Technology organization.
  • Continuous Learning: Access to top-tier technological training platforms Access to high-quality learning paths through the internal #GROW program Knowledge-sharing communities Customized development paths.
  • International and Cross-functional Projects: opportunities to participate in international and cross-functional projects, ensuring the exchange of knowledge and ideas.
  • Working Methodology: an operational approach based on a collaborative, informal work environment that is open to the exchange of ideas.
  • Benefits Hybrid working model Flexible start and end times to support work–life balance.
  • Meal vouchers worth €8.
  • Online well-being programs.
  • Welfare platform available to all employees.
  • Location : Milan and smart working #Li-Hybrid
Our Interview Practices

To 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. Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

Wolters Kluwer reported 2025 annual revenues of €6.1 billion. The group serves customers in over 180 countries, maintains operations in over 40 countries, and employs more than 21,000 people worldwide. Our customers work in industries that impact the lives of millions of people every single day. Our mission is to empower our professional customers with the AI-powered solutions they need to make critical decisions, achieve successful outcomes, and increase productivity. We deliver trusted, AI-powered expert solutions that combine deep domain knowledge, proprietary content, and advanced technology to provide expert-validated insights, automate workflows, and drive better outcomes. Today, nearly 70% of our digital revenues come from AI-powered solutions, reflecting our strategic focus on embedding AI into professional workflows and delivering measurable productivity gains. We are committed to helping professionals navigate complexity, improve the way they work, and solve critical challenges through cloud-based, AI-powered platforms that integrate seamlessly into their workflows and ecosystems. Our solutions are designed to deliver impact when it matters most, especially in high-stakes environments where accuracy and trust are essential. With a nearly 190-year legacy, Wolters Kluwer continues to evolve its portfolio of digital solutions and services to meet the changing needs of professionals worldwide, enabling them to work faster, make smarter decisions, and deliver better outcomes.

For more information about our solutions and organization, visit www.wolterskluwer.com, or follow us on LinkedIn, Instagram and Facebook.

Wolters Kluwer has a dedicated team of experienced talent acquisition professionals who are ready to hear what makes you tick and share how Wolters Kluwer can help you achieve your goals and ambitions.

In a global organization, we recognize that solving a wide range of complex problems requires diverse perspectives and innovative thinking. We know that bringing our best to our customers, communities, and other key stakeholders requires a highly engaged and talented workforce – one that represents the diversity of those we serve and the communities where we live and work. We aim to provide a welcoming environment and equitable opportunities for all employees regardless of background, nationality, race, ethnicity, gender, gender identity, age, sexual orientation, marital status, disability, or religion. This principle is ingrained in our company values and articulated in our Code of Business Ethics. At Wolters Kluwer, you’ll feel valued for your contributions, and you’ll know that your health, safety, and well-being are important to us. Our well-being benefits provide tools, programs, and resources to help our diverse employees feel healthy, happy, safe, and prosperous. Our global Together we thrive well-being program reflects our commitment to supporting colleagues across physical, mental, social, and financial well-being.

All qualified applicants will receive consideration without regard to race, color, religion, sex (including pregnancy, gender identity, transgender status, and sexual orientation), national origin, disability, age, genetic information, veteran status, or any other characteristic protected by applicable law, and we do not tolerate discrimination on any of these bases.

GDPR Wolters Kluwer (“we” or “us”) wants to inform you about the ways we process your personal information. In this Privacy & Cookie Notice we explain what personal information we collect, use and disclose. You'll find details related to GDPR and other data privacy policies on our Careers Privacy and Cookies page.

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