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2 дня назад

Senior Software Quality Assurance Analyst (Data & Analytics)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Italy
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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

hirify.global 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 hirify.global office may be required.
  • Use of AI-generated responses or third-party support during interviews may result in disqualification.

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