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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

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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

hirify.global 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 hirify.global office.

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