Required skills
- Analytic Applications
- Data Analysis
- Big Data
- Static Program Analysis
- Data Architecture
- Data Definition Language
- Data Infrastructure
- Data Integration
- Data Integrity
- Data Manipulation Languages
- Data Transformation
- Data Mining
- Data Profiling
- Data Structures
- Data Transformation Services
- Database Analysis
- Digital Data
- Data-Flow Analysis
- HR Analytics
- Data Intelligence
- Log Analysis
- Machine Learning
- Multivariate Analysis
- Predictive Analytics
- Smart Data
- Data Access Layer
- Azure Machine Learning
- SQL Databases
- SQL Server Analysis Services
- Structured Analysis
- Teradata SQL
- Toad Data Modeler
- Visual Analytics
- Web Analytics
- Automated Data Processing (ADP)
- Data Processing
- SQL Performance Analyzer
- Database Performance Analyzer
- Data Science
- Datastax
- Large Language Models
- Data Assimilation
- Data Representation
- Data Language Interface
- Generative AI
- Data Lineage
- Data Analytics
- AWS Data Analytics
- Machine Learning Operations
- Database View
- Azure Data Analytics
- Artificial Intelligence Markup Language (AIML)
- Sas Visual Analytics
- Data Selection
- Data Generation
Languages: English
Job description
Project overview
Settore: Information Technology
Sede / Modalità: Milano · Full Remote · Full Time
Profili richiesti: 1
Periodo: 06/12/2026 – 19/12/2027
Tariffa: € 310/giorno
Seniority: Senior
Data Analyst – Advanced Analytics & Generative AI
Project details
Turin or Milan, Italy
About the role
We are looking for a Data Analyst with a multidisciplinary skill set spanning data analytics, data preparation and management, and AI applications.
The successful candidate will work with structured and unstructured datasets, turn data into meaningful insights, and support advanced analytics in collaboration with Data Scientists. The role also requires experience with Large Language Models and Multimodal AI for information management and generative applications.
Key responsibilities
Extract, transform and analyse structured and unstructured data using SQL, Python or R.
Create data visualizations and reports to communicate findings and support decision-making.
Apply statistical methods to generate evidence-based insights.
Work with large datasets and databases, supporting data accuracy, consistency and traceability.
Collaborate with Data Scientists on advanced analytics activities involving Machine Learning techniques.
Apply Large Language Models and Multimodal AI to information management and generative use cases, including content synthesis.
Support data quality through validation rules, reconciliation and data lineage tracking.
Required expertise and technologies
Knowledge of data analysis and manipulation using SQL, Python or R, including extraction, transformation and analysis of structured and unstructured datasets.
Experience with data visualization and reporting.
Knowledge of statistical analysis methods and tools to support evidence-based insights.
Familiarity with databases and spreadsheet tools, particularly Microsoft Excel.
Ability to work with large datasets and databases.
Awareness of Machine Learning algorithms, including regression, clustering and classification, to support advanced analytics in collaboration with Data Scientists.
Experience with Large Language Models (LLMs) and Multimodal AI for information management and generative applications, such as content synthesis.
Knowledge of data quality practices, including validation rules, reconciliation and data lineage tracking, to ensure accuracy and consistency of insights.
Education and language requirements
Master's degree or equivalent university qualification (EQF Level 7) and at least 10 years of professional IT experience as a Data Analyst or in Artificial Intelligence and/or Machine Learning (AI/ML).
English language proficiency above CEFR B2 level.
Milan or Turin. The role may involve business travel to the province of Varese, Italy, depending on project requirements.
CV submission deadline: 18 October 2026.
Additional supporting documentation may be requested during the selection process.
Lingue e competenze
Lingue: Italiano (obbligatorio), Inglese (obbligatorio)
Competenze obbligatorie: Python, SQL, R
- Start: date 11/2026
- Remote: remote
- Location: Milano o Torino, Italy, IT
- Languages: English
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