Top Data Analyst Jobs in Italy

The internship involves data analysis and process improvement for the Aeroderivative Engines team, focusing on database management, report generation, and collaboration with stakeholders.

As a Data Analyst at Thrill Labs, you will analyze datasets to provide insights, develop dashboards, and collaborate with teams to drive product and operational strategies.

The Data Analyst will collect and analyze data, develop dashboards, interpret results, and collaborate with divisions to enhance data systems.

The Data Analyst will analyze and improve multilingual text classifier outputs, translate taxonomy content, document findings, and support linguistic development.

The Senior Research Data Analyst conducts statistical analyses in health outcomes research, develops analysis plans, and supports study operations, including protocol development and literature reviews.

As an Intern in Data Analysis & Customer Application Engineering, you will support data validation, cost analysis, and create reports while collaborating with cross-functional teams.

The Procurement Data Analyst will support supplier portfolio management, perform data analytics, assist in strategic sourcing, and create automated reporting solutions.

The Data Analyst will lead data architecture designs, develop AI workflows, create visualization tools, enhance decision-making, and collaborate with stakeholders.

The Research Data Analyst will produce data-driven insights, prepare and clean data, develop visualizations, and engage with stakeholders on research policy evaluation and strategy.

The Business Data Analyst will analyze complex datasets, providing insights for internal performance and business development, utilizing tools like Excel and Power BI.

The role involves analyzing procurement datasets, delivering insights, supporting performance monitoring, and optimizing procurement processes through data analysis and reporting.

As a Fraud Data Analyst, you will design real-time fraud strategies, develop rules to combat fraud, optimize decision-making, and collaborate with teams to enhance user experience and report performance metrics.

The Fraud Data Analyst designs real-time fraud detection strategies, optimizes decision-making tools, analyzes payment fraud, and presents data-driven insights to leadership.

The Finance Systems Data Analyst supports the Finance organization by ensuring data accuracy across SAP and Snowflake, optimizes data flows, automates reporting, and enhances financial decision-making.

The Finance Systems Data Analyst ensures accuracy and accessibility of financial data across SAP and Snowflake, optimizing data flows and reporting.

Build, standardize and automate reporting (Power BI, MicroStrategy), support Sales Managers with ad hoc and project reporting, prepare stakeholder decks, ensure data consistency, and deliver business-oriented insights to drive strategic decisions and performance improvements.

As a Senior Data Analyst, you'll enhance analytics capabilities, develop reporting solutions, and communicate insights to support revenue optimization and decision-making across the company.

As a Data Science Analyst, you'll transform data into actionable insights, develop dashboards, and collaborate on analytical solutions while ensuring data quality and compliance.

As a member of Oliver Wyman's Data & Analytics team, you will help clients solve complex challenges through tailored analytical solutions, collaborating on projects that leverage advanced analytics.

As a Data Scientist and Training Analyst, you'll implement data engineering activities, develop data applications, and work collaboratively in an agile team to provide actionable insights from data for various missions.

The role involves managing data transformation and reporting pipelines, automating data processes, and performing data analysis while collaborating with business owners. The candidate will use tools like Power BI and SQL in their tasks.

The Senior Data Analyst will enhance analytics capabilities, develop analytical products for data-driven decisions, and communicate insights effectively while collaborating with various teams.