Data Analyst

• Seguire le iniziative del cliente e la governance dei progetti
• Proporre soluzioni e architetture innovative
• Curare le relazioni con gli stakeholder coinvolti
• Coordinare il team di progetto
• Supportare nella gestione degli ostacoli operativi
• Collaborare alla raccolta dei requisiti e valutare le analisi di fattibilità
• Garantire la qualità della delivery

Senior Consultant – Data & Analytics

• Manage, maintain, and develop internal applications used by the ITA Hub.
• Implement new functionalities and continuously improve existing tools.
• Develop and maintain MySQL databases supporting business applications through PHP development.
• Ensure the reliability and efficiency of internal systems and tools.
• Provide user support and troubleshoot operational issues when required.
• Collect, process, and analyze data from company systems and operational processes.
• Develop KPIs to monitor logistics and warehouse performance, including cost recharges, carrier performance, and internal process efficiency.
• Develop and maintain dashboards and reports using Power BI and Excel.
• Prepare regular reports, analyses, and presentations for management.
• Ensure the quality, consistency, accuracy, and reliability of data used in business decision-making.
• Collaborate with cross-functional teams to identify opportunities for process improvement and implement innovative solutions.

Warehouse Operations Data Analyst

• Build a profound understanding of the business context you will be embedded into.
• Direct AI tools to build queries, dashboards and reports, and take full accountability for the output.
• Design, build and maintain analytics-ready DBT data models, applying software-engineering best practices to analytics code.
• Own the design, definitions, implementation and exhibition of KPIs and metrics for your working group.
• Act as an Data Enabler with your stream aligned group, facilitating access to data and analysis adjusting to different levels of support for different stakeholders.
• Foster trust towards Data Analytics outputs: proactively catch and handle data quality issues.
• Refine loosely defined questions into structured analysis plans with clear scope, timelines and tradeoffs. Investigate and interpret data to generate insights that inform business decisions.
• Contribute the evolution of our Data Platform, with a focus on its AI capabilities: curate the semantic layer, build skills, explore opportunities for further enhancements.

• Conduct quantitative analysis of climate displacement risk data across CMIL priority countries, in particular in countries with low analytical capacity. Generally this work will take place with expert partners but may also involve independent technical work.
• Review, stress-test, and propose targeted improvements to existing RICD modelling approaches, including assumptions, indicators, weighting, and aggregation methods.
• Support the development and adaptation of micro-level analysis methodologies combining quantitative and qualitative elements.
• Contribute to the RICD methodological working group, providing technical inputs on modelling design, indicator selection, and data quality.
• Support the integration of hazard-specific displacement risk assessments (e.g. flood, drought, heatwave) and vulnerability dimensions (e.g. conflict) into the RICD analytical framework.
• Ensure gender-sensitive data considerations are reflected in analytical outputs.
• Support alignment of RICD analytical approaches with CMIL colleagues in other regions and IOM HQ.
• Develop and improve hazard, exposure, and vulnerability simulations in key hotspots.
• Identify gaps in country-level climate and displacement data and work with national partners and IOM missions to source, clean, and validate relevant datasets.
• Assess the quality, coverage, and reliability of available data at country level across CMIL priority countries.
• Develop or adapt data processing workflows to improve consistency, comparability, and usability of datasets within the RICD framework.
• Improve the interoperability of data across different sources, formats, and scales — including government administrative data, household surveys, and remote sensing products.
• Propose and apply proxy indicators or methodological workarounds where primary data is unavailable or of insufficient quality.
• Provide hands-on technical support and training to national technical staff and local partners on data collection, processing, and analytical methods relevant to climate displacement risk.
• Support partners in understanding, applying, and contextualising RICD outputs at country level, including through guidance notes and direct accompaniment.
• Develop simplified technical materials and training resources tailored to varying levels of technical capacity among partner institutions.
• Serve as an analytical support, where required for the CMIL teams globally, supporting colleagues on data queries, output interpretation, and quality assurance of analytical products.
• Contribute to RICD reports, technical briefs, and other knowledge products, translating findings into accessible outputs for policy and programme audiences.

Climate Data and Risk Analyst

• Condurre analisi esplorative (EDA) e analisi avanzate su dataset complessi
• Progettare e sviluppare dashboard e report interattivi
• Gestire end-to-end un progetto analitico
• Estrarre e trasformare dati provenienti da sorgenti eterogenee
• Sviluppare e mantenere modelli di dati analitici su Databricks
• Definire e monitorare KPI e metriche di business
• Applicare tecniche di analisi statistica
• Collaborare con i team di Data Engineering e Data Science
• Contribuire alla cultura del dato in azienda

Senior Data Analyst

• Analizzare grandi quantità di dati strutturati e/o non strutturati, garantendo qualità, pulizia e coerenza del dato;
• Sviluppare modelli di machine learning (supervisionati e non supervisionati) per supportare i processi decisionali;
• Costruire soluzioni di Business Intelligence, quali dashboard e report, per la comunicazione di KPI/KRI agli stakeholder di progetto;
• Collaborare con team cross-funzionali (business, IT) per la raccolta dei requisiti e l’implementazione di soluzioni analitiche concrete ed efficaci;
• Contribuire alla prototipazione e modellizzazione di soluzioni innovative basate sui dati;
• Supportare il team di progetto nella predisposizione della documentazione funzionale all’esecuzione al progetto (sia di natura tecnica sia di allineamento dello stato di progetto verso il Cliente)

Data Analytics and Machine Learning Consultant

• Leverage data to identify risks, opportunities and key pricing drivers, turning complex information into actionable insights that influence strategic decision making;
• Leverage Machine Learning and advanced analytics to develop risk and pricing models that power real-time insurance pricing for millions of customers;
• Contribute directly to the company’s growth and long-term success through innovative modelling, experimentation and commercially impactful insights.

Quantitative Analyst, Math, Physics, Engineering

• Raccogliere e analizzare i dati provenienti da diverse fonti digitali per identificare trend, opportunità e aree di miglioramento (es. Analytics, CRM, campagne adv, User behaviour monitoring tools, etc).
• Creare report di insight e actionable mensili, trimestrali (QBR) e ad hoc, garantendo l'accuratezza e la completezza dei dati presentati.
• Effettuare analisi del funnel per comprendere i comportamenti degli utenti e individuare punti critici nel customer journey.
• Realizzare analisi di correlazione pre-post per misurare l'impatto delle modifiche al sito, come il lancio di nuove funzionalità o redesign.
• Collaborare con il team di marketing e altre aree aziendali per fornire insights basati sui dati, supportando strategie di ottimizzazione delle performance.
• Svolgere analisi avanzate sui dati delle campagne pubblicitarie, fornendo indicazioni sul loro rendimento e suggerimenti per miglioramenti futuri.
• Affrontare tematiche di misurazione avanzata (Marketing Mix Model, Lifts, Attribution).
• Partecipare attivamente ai momenti di review con i team interni e i clienti, proponendo insight, raccomandazioni e ipotesi di test.
• Applicare framework di analisi strutturati (Dashboard → Reports → Insights → Activation) per garantire coerenza e velocità di esecuzione.
• Guidare e monitorare progetti di Conversion Rate Optimization (CRO) e personalization tramite A/B testing o approcci test & learn.
• Analizzare dati provenienti da più sorgenti (Analytics, CRM, SEO, ADV, CDP, BI) per fornire una visione unificata delle performance e favorire decisioni cross-canale.
• Creare dashboard personalizzate e visualizzazioni dei dati utilizzando strumenti come Looker Studio per raccontare storie integrate e visivamente accattivanti.

Digital Analytics Insights Specialist

• Build Financial Analytics & Reporting Capabilities — Develop P&L and cash flow analytics, plan vs. actual monitoring models, and financial KPI frameworks that enable Finance to steer the business with accurate, timely data.
• Lead Investor Relations Analytics — Serve as the primary analytics and intelligence partner for Satispay's investors including top-tier VC firms, translating business performance into clear, data-driven narratives that maintain and strengthen those relationships.
• Partner with Key Stakeholders — Act as the primary data and analytics partner for Finance, while collaborating closely with Marketing, Operations, and Product. Bridge the gap between financial data complexity and business decisions, translating technical findings into clear, actionable recommendations at the executive level.
• Build High-Impact Visualisation Tools — Define key financial metrics and develop dashboards and reports that communicate financial insights effectively, empowering self-service across Finance and senior leadership.
• Drive Business Economics Analytics — Partner with Finance to develop analytical frameworks across monetisation, unit economics, LTV, payback period, cost structure, and revenue drivers, bridging product performance and financial outcomes to support strategic planning.
• Enhance Analytics Through AI-Powered Workflows — Design and implement AI-assisted workflows to automate anomaly detection, surface budget deviations, and unlock efficiencies in the analytical processes supporting budgeting and re-forecasting.
• Contribute to Our Data Layer Evolution — As part of the broader G&M Analytics team effort, contribute to the development of our data mesh layer by designing financial data models and pipelines that integrate into the company’s federated data strategy, ensuring scalable and governed data ownership.

Data Analyst – Finance

• Gestione amministrativa delle società Magis Calore Srl, Magis Power Srl e delle società gestori di impianti di produzione
• Monitoraggio delle performance, dell'andamento dei costi e degli investimenti
• Monitoraggio KPI
• Contribuire alle attività di budgeting
• Sviluppare reportistica direzionale
• Gestire richieste di raccolta e analisi dati

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