Top Data Analyst Jobs in Italy

Own analytics for Nuitee’s global travel marketplace, analyzing enterprise partners, self-service API adoption, bookings, product performance, and customer behavior. Build and validate dbt models, data pipelines, experimentation capabilities, and analytical products end to end. Partner with senior Product, Engineering, and commercial leaders to establish trusted metrics, resolve reporting inconsistencies, identify growth opportunities, and influence product and business decisions in a fast-moving startup environment.

Analyze large datasets to identify trends and deliver actionable insights; design and monitor KPIs; build and maintain dashboards and reporting frameworks; conduct ad hoc analyses; ensure data quality and support reporting infrastructure in partnership with product and business teams.

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.

Own global operations KPI governance, data integrity, scorecards, and executive reporting across 30+ manufacturing plants and five regions. Build Power BI dashboards, standardize data definitions, maintain reporting infrastructure, analyze operational trends, and support cross-functional decision-making. Coordinate Oracle ERP data integration, improve business processes, and contribute to AI/ML pilots for predictive analytics and scenario modeling.

Analyze payments data, integrate complex data sources, maintain performance reports, monitor KPIs, and identify opportunities to optimize payment routing and reduce failures and costs. The role collaborates with Payment Operations, Product, Finance, Customer Support, analysts, and engineers to ensure data quality and deliver actionable insights through ad hoc analysis, dashboards, and automated reporting.

Analyze complex datasets and translate business needs into functional requirements, KPIs, dashboards, and data quality rules. The role supports data-source preparation, Tableau dashboard creation and publication, data-model and architectural-flow definition, and compliance with governance standards. It acts as a bridge between business stakeholders and technical data teams, using SQL, Tableau, and Google Cloud Platform to deliver reliable, actionable analytics.

Manages and analyzes commercial, product, sales, and pricing data from ERP and CRM systems. Maintains recurring reports, dashboards, master data, and pricing tools; monitors KPIs, data quality, trends, and anomalies. Supports Sales and Product Management with ad hoc analysis, competitor benchmarking, CRM activities, and clear presentations. The role is a temporary approximately 12-month maternity leave replacement.

Intern will analyze Manufacturing Quality MDR process performance, track backlog and rejection trends, identify risks and inefficiencies, prepare KPI dashboards and reports, support root-cause investigations, and contribute to process redesign and continuous improvement initiatives. The role involves cross-functional collaboration, process mapping, documentation, governance support, and compliance with quality and Health, Safety, and Environment standards.

Analyze lease and rent data to identify savings opportunities and support procurement decisions. Maintain accurate lease information across real estate systems, validate portfolio data with international teams, track global rent-saving initiatives, and coordinate external suppliers and stakeholders. The six-month Milan internship requires advanced Excel skills, familiarity with Power BI or Tableau, strong English, and an interest in data analysis and indirect procurement.

Analyze FMCG sales, pricing, promotions, customer, product, margin, market share, and competitor data to support revenue growth management. Develop pricing and price elasticity models, identify commercial opportunities, create visualizations and actionable insights, and translate analytical needs into product requirements, user stories, and business rules. Collaborate with stakeholders, product managers, data engineers, developers, and commercial teams to build scalable digital analytics solutions.

Lead analytical initiatives supporting Product, Data, and Business teams. Translate business and product questions into data requirements, measurement strategies, KPIs, dashboards, A/B tests, impact analyses, and actionable narratives. Track product performance, present insights to stakeholders, and coach analysts while enabling data-driven decisions across a global organization.

Supports FP&A through financial planning, forecasting, scenario analysis, closing activities, dashboard development, KPI monitoring, and data-driven reporting. The role uses Excel, Power BI, SAP, and Anaplan to manage financial and operational data, identify trends and anomalies, automate processes, and deliver actionable insights to the manufacturing finance team.

Analyze and improve fraud signals and user segmentation for Puzzleplay’s rewards platform. Investigate suspicious and manually reviewed users, monitor segment effectiveness, identify gaps in detection, and recommend verification tools. Collaborate with product and data teams to turn analysis into operational fraud controls across different markets as fraud patterns evolve.

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.

Develop analytical and machine learning solutions for consulting clients across industries. Responsibilities include designing solutions, building prototypes, evaluating model effectiveness, explaining data science concepts to clients, and collaborating with colleagues globally. Projects involve NLP, credit risk modeling, portfolio decarbonization, promotion analytics, GenAI validation, supply chain risk, and customer churn modeling.

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.

Supports consulting clients by designing analytical solutions, developing machine learning and statistical models, building prototypes, validating AI tools, and communicating complex data science concepts. Projects span financial services, risk management, sustainability, retail, supply chain, and customer analytics. The role involves close collaboration with colleagues and clients, continuous technical learning, and occasional international travel.

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.

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.

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.

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.