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Senior Software Quality Assurance Analyst (Data & Analytics)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Quality Assurance Analyst (Data & Analytics): Defining and validating KPIs, data quality rules, analytical models, dashboards, and reporting outputs with an accent on SQL-based data validation, business requirements, and specification-driven quality practices. Focus on analyzing structured datasets, validating automated insights, and using AI-assisted tools to improve documentation, acceptance criteria, and analytical reliability.
Location: Milan, Italy, with a hybrid working model and smart working
Company
operates in a rapidly growing multinational environment with international and cross-functional technology projects.
What you will do
- Define, document, and validate KPIs, metrics, benchmarking models, and analytical requirements.
- Translate business questions into data requirements, quality criteria, acceptance conditions, and analytical specifications.
- Validate the quality, consistency, completeness, and reliability of reporting and analytics outputs.
- Support dashboards, reports, semantic models, and analytical products, preferably using Power BI.
- Analyze customer, supplier, financial, operational, and market data to identify trends, gaps, opportunities, and risks.
- Use AI-assisted tools and specification-driven practices to improve analysis, validation, documentation, and quality processes.
Requirements
- Experience in data analysis, business intelligence, software quality assurance for data products, or a related role.
- Strong analytical, problem-solving, communication, and attention-to-detail skills.
- Good SQL skills with the ability to explore, validate, and interpret structured datasets.
- Experience with reporting, dashboarding, or visualization tools, preferably Power BI.
- Experience using AI-assisted tools for analysis, validation, reporting, documentation, or quality activities.
- Familiarity with specification-driven methodologies such as OpenSpec or equivalent approaches, plus a strong interest in AI and analytics innovation.
Nice to have
- Experience with benchmarking, business performance analysis, or financial and operational analytics.
- Knowledge of data quality frameworks, data lineage, semantic models, or data governance.
- Familiarity with Azure Data & Analytics services or enterprise data platforms.
- Experience in Agile, product-oriented, and cross-functional environments.
- Experience validating automated insights, generated reports, or advanced analytics outputs.
Culture & Benefits
- People-first work environment with support for individual and professional growth.
- Access to technological training platforms, internal #GROW learning paths, knowledge-sharing communities, and customized development paths.
- Collaborative and informal working environment focused on exchanging ideas.
- Hybrid working model with flexible start and end times.
- €8 meal vouchers, online well-being programs, and a welfare platform available to employees.
Hiring process
- Interviews assess individual skills, experience, and communication without AI tools or external prompts.
- In-person interviews are included in the process, and candidates may be required to appear onsite at a office.
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