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12 дней назад

Data Analyst (Manufacturing)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
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
Data Analyst (Manufacturing) (SQL/Power BI): Transforming data from ERP, CRM, and operational systems into actionable insights, dashboards, and reports with an accent on data quality, business intelligence, and cross-functional analysis. Focus on querying large datasets, supporting data migration and integration, and translating complex findings into recommendations for finance, operations, and supply chain.

Location: Verona, VE, Italy

Company

hirify.global is a global manufacturing organization that develops innovative products, enters new markets, and expands through growth and acquisitions.

What you will do

  • Collect, clean, and analyze data from ERP, CRM, and operational systems to identify trends and actionable insights.
  • Build and maintain dashboards, KPIs, and reports for business users and leadership.
  • Write SQL queries and use analytics tools to extract, transform, and analyze large datasets.
  • Collaborate with finance, operations, supply chain, and other stakeholders to translate business needs into data requirements.
  • Present findings through clear visualizations and recommendations.
  • Support data migration, integration, quality initiatives, and documentation of data processes and methodologies.

Requirements

  • Bachelor’s degree in a quantitative or analytical field, or equivalent relevant experience.
  • At least 2 years of experience in data analytics, business intelligence, or a related field.
  • Proficiency in SQL and relational databases such as SQL Server or PostgreSQL.
  • Experience creating dashboards and reports with Power BI, Tableau, or similar tools.
  • Experience with ERP/CRM data flows, including systems such as SAP, Infor LN, or Salesforce, in a manufacturing environment.
  • Fluency in both Italian and English is required.

Nice to have

  • Experience with cloud data platforms such as Databricks or Delta Lake.
  • Knowledge of data governance, data quality, and metadata documentation.
  • Experience using Python or R for data analysis.
  • Exposure to Agile environments and tools such as Jira, Confluence, or Git.

Culture & Benefits

  • Open and communicative environment that values initiative and innovative ideas.
  • Professional development opportunities within a growing global organization.
  • Medical assistance programs and generous paid vacation.
  • Retirement savings plan with an employer contribution.
  • Benefits are active from the first day of employment with no waiting period.

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