Top Data Analyst Jobs in Italy

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.

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.

Work as an engineering-minded data analyst embedded in a product or CEO stream to turn raw data into trusted analytics. Build and maintain dbt models, review and refactor analytical code, define KPIs, direct AI tools to produce reports, ensure data quality, and communicate insights to stakeholders. Contribute to the data platform and its AI/semantic layer while enabling self-serve analytics for product teams and executives.

Early-career Data Analyst responsible for designing and owning core metrics and dashboards, analyzing transaction/customer/credit data to inform credit, fraud, AML, portfolio and growth decisions, building data pipelines and automations with SQL and Python, partnering with cross-functional teams, and owning compliance reporting. Emphasis on turning ambiguous problems into reliable analytical systems and applying GenAI/LLMs for practical automation.

Analyze and instrument offsite discovery and SEO/GEO performance for ecommerce sites. Build integrations, ETL pipelines, and models to track organic and AI-driven traffic. Create tooling and frameworks for technical site audits, landing page modelling, SEO experiments, and enablement for product and customer teams.

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.

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.

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.

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

Design, build, operationalize, and maintain enterprise-scale data pipelines and analytic solutions. Lead cross-functional teams, perform analytical exploration, and develop/deliver training, documentation, and workshops for data systems supporting DoD missions.

Lead finance analytics within Growth & Marketing: build P&L and cash‑flow models, investor reporting, dashboards, ETL/data models, unit-economics analyses, and AI-assisted workflows. Partner with Finance, Product, Marketing and senior leadership to translate financial data into actionable insights and scalable self-service assets.

Analyze large-scale user and product data, design and evaluate A/B tests, define and validate product and business metrics, build dashboards and reports, and partner with engineers, data scientists, product, and customers to translate insights into product improvements.

Maintain and validate global customer master data across systems (Salesforce, Jira), perform deduplication and hierarchy management, conduct compliance checks (embargo/VAT screening), monitor CMD dashboards, support cross-functional teams to resolve data anomalies, and drive data integrity projects and process improvements.

Support a UK healthcare/pharmacy client in enterprise data strategy, governance and data quality. Coordinate data backlog, establish governance and ownership models, contribute to customer data strategy, and help define reporting and analytics operating models. Prepare analysis, documentation and recommendations for programme decision-making.

Lead geospatial analytics for ESG across the investment portfolio: design and maintain spatial datasets, build dashboards and web GIS apps, conduct spatial risk and opportunity analysis, automate processes, enforce data governance, mentor junior analysts, and deliver actionable insights for stakeholders to support ESG reporting and decision-making.

Work on client-facing data science and analytics projects: design analytical solutions, build and validate ML/NLP/GenAI prototypes, implement models and toolkits, communicate insights to clients, and support cross-industry engagements (financial services, energy, retail, telecom). Collaborate in teams, travel internationally, and contribute to project delivery and client impact.

Work on analytics and ML projects for clients across industries: design solutions, build prototypes, implement models (e.g., NLP, credit risk, GenAI chatbots), present findings, and collaborate with teams and clients. Expect international travel, mentoring, and varied project exposure.

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 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.

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.