Profil Required profile and experience Education: Bachelor's degree in Computer Science, Computer Engineering, Mathematics and Statistics, or Economics.
Professional Experience: Proven experience of at least 5 years in data management, data collection, or Big Data management, in the for-profit or non-profit sector.
Experience in the non-profit sector is an asset.
Professional Requirements: The Data Analyst must possess technical skills in the following areas: Knowledge of the most widely used relational databases and SQL language; Knowledge of Data Visualization techniques; Knowledge/familiarity with ERP systems; Extensive knowledge in the area of statistics; Knowledge of Excel; Knowledge of programming languages, such as Python or R; Ability in data modeling; Ability in cluster analysis.
Languages: Fluent knowledge of English and Italian is mandatory; French is an asset.
Personal Requirements: Propensity for logical and analytical thinking; problem-solving attitude; strong organization and task management; ability to prioritize; effective communication skills.
Description INTERSOS is an independent humanitarian organization that assists the victims of natural disasters, armed conflicts, and exclusion.
Its activities are based on the principles of solidarity, justice, human dignity, equality of rights and opportunities, respect for diversity, and coexistence, paying special attention to the most vulnerable people.
Job Title: Data Analyst Code: SR-00-9058 Duty station: Rome - HQ Reporting to: Director of Finance Supervision of: // Dependents: Non-family duty station The Data Analyst is responsible for analyzing and interpreting data to extract useful information to test business hypotheses and gain a competitive advantage.
The Data Analyst organizes and clusters data, uses mathematical codes and formulas to automate calculations, and communicates results through reports and written documents.
Main responsibilities and tasks Understand the types of research to be conducted based on the needs; Ensure that the information is not biased; Suggest changes in the tools and processes used for data collection; Organize the data and create clusters; Read data using statistical methods to identify correlations and interpretive patterns; Share the results of the analysis with stakeholders through written documents.
HOW TO APPLY: Interested candidates are invited to apply following the link below: Apply Here .
Please note that our application process consists of 3 quick steps: register, sign-up, and apply by attaching your CV in PDF format.
Please also mention the name, position, and contact details of at least three references: two line managers and one HR referent.
Family members are to be excluded.
Only short-listed candidates will be contacted for the first interview.
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