Top Data Analyst Jobs in Italy

Support consolidation of operational data across sites, maintain Excel-based reports and dashboards, monitor KPIs, prepare performance review materials and presentations, assist supplier coordination and action-tracking, and contribute to continuous improvement while collaborating with operations, supply chain, and procurement teams.

Lead finance analytics within Growth & Marketing: build P&L and cash flow reporting, investor-facing analytics, financial dashboards, unit-economics models, AI-assisted anomaly detection and automation, and design finance data models and pipelines for the company data mesh.

Intern will support updating and maintaining the GTS Aero Qualification database, create standard templates and dashboards, improve processes and data-driven tools, monitor repair qualification program performance, learn internal software, collaborate with cross-functional teams, and apply HS&E standards.

Support the Aeroderivative Engines team by maintaining databases, creating reports and dashboards, analyzing large datasets into KPIs, improving data-driven tools and processes, and presenting insights to project managers while applying HS&E standards.

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

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

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

Design, build and maintain interactive BI dashboards, perform exploratory analysis on commodity markets, ensure data quality and pipelines, produce KPIs and insight reports, and support stakeholders with self-service analytics and training.

Embedded with a product squad as the PMs' dedicated data partner, lead deep cross-product analyses focused on activation and adoption, design and evaluate experiments, improve instrumentation and event taxonomies, surface retention and cohort insights, and translate rigorous statistical analyses into actionable product recommendations.

Lead delivery of end-to-end data and analytics solutions: build dimensional models, develop Power BI dashboards, perform exploratory analysis, design Azure-based data pipelines, capture client requirements, run scenario modelling, test and assure solutions, prepare client communications and lead project teams.

Lead data and analytics projects: design dimensional models, build Power BI dashboards, run exploratory analysis, capture client requirements, develop end-to-end data pipelines on Azure, test and assure solutions, support client decision-making, and contribute to business generation and people development.

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.

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

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.

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.

Collaborate with clients to design and implement data-driven solutions, build ML/NLP/GenAI prototypes, develop credit risk and probability-of-default models, analyze datasets, validate analytical approaches, and communicate results to stakeholders while working across teams.

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.

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.

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.