Wolters KluwerSenior AI & Data Intelligence Analyst
Wolters Kluwer is hiring a Senior AI & Data Intelligence Analyst in Milan, Italy. Level rates it ; you can apply on Wolters Kluwer.
Level's read on this job
- Uses AI ●●○○ is how Level rates this role: an ordinary role that requires AI tools.
- Tools and skills the posting cites include Power BI, SQL and Openspec.
- Level classifies it as a senior role.
- Level lists 446 other open roles at Wolters Kluwer.
AI in this role
Senior analyst ensuring data product quality using analytical tools and AI-assisted methodologies.
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
We operate in a rapidly growing multinational environment and provide our teams with:
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.
How we rate this
Senior AI & Data Intelligence Analyst at Wolters Kluwer rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where business intelligence was part of your work. What did you do?
- Tell me about a project where quality assurance was part of your work. What did you do?
- Tell me about a project where ai assisted tools was part of your work. What did you do?
- Tell me about a project where kpi validation was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Data Analysis, Business Intelligence, Quality Assurance, AI Assisted Tools, and Kpi Validation. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.
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