12 дней назад
Data Analyst (Manufacturing)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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