2 дня назад
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, analytical models, data quality rules, dashboards, and reporting outputs with an accent on SQL-based data validation, business intelligence, and AI-assisted quality practices. Focus on translating business questions into measurable acceptance criteria, validating structured datasets and analytical products, and ensuring insights are reliable and actionable.
Location: Hybrid in Milan, Italy, with smart working; onsite office attendance may be required for interviews.
Company
operates in a multinational technology environment focused on data-centric products and analytical solutions.
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 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.
- 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 and problem-solving skills with close attention to data quality and business value.
- Good SQL skills for exploring, validating, and interpreting structured datasets.
- Experience with reporting, dashboarding, or visualization tools, preferably Power BI.
- Ability to define measurable KPIs, validation criteria, analytical specifications, and acceptance conditions from business needs.
- Experience using AI-assisted tools and familiarity with specification-driven methodologies such as OpenSpec or equivalent approaches.
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 environment with support for individual and professional growth.
- Access to technology training platforms, internal #GROW learning paths, knowledge-sharing communities, and customized development plans.
- International and cross-functional project opportunities.
- Collaborative and informal working environment with flexible start and end times.
- Hybrid working model, €8 meal vouchers, online well-being programs, and a welfare platform.
Hiring process
- Interviews assess individual skills, experience, and communication without AI tools or external prompts.
- In-person interviews and onsite attendance at a office may be required.
- Use of AI-generated responses or third-party support during interviews may result in disqualification.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →