Business Intelligence & Analytics Manager / Headquarters

Istituto Marangoni; Lombardia; Hybrid; EUR 45,000 - 50,000; Full time

Benefits offered by this job

Meal Voucher

Remote work two days a week

Permanent contract

Job summary

Istituto Marangoni is seeking a Business Intelligence & Analytics Manager to lead the data and analytics platform that informs commercial and operational decisions across international markets. The role combines BI, data modelling, forecasting and AI-enabled analytics to deliver reliable data products and actionable recommendations for senior management.

Working with Sales, Marketing, CRM and Customer Care, you will design scalable data architectures, automate pipelines and drive performance

Qualifications

• Min. 3 years of experience in BI, data analytics, analytics engineering or data engineering.
• Experience in commercial analytics and international multi-market organisations (preferred).
• Successful studies in Economics, Business Management, Statistics or Finance.

Responsibilities

• Own and evolve the analytics platform including data warehouse/lakehouse architectures.
• Develop and manage automated ETL/ELT pipelines across CRM, Marketing and Customer Care systems.
• Define KPIs and datasets; ensure data quality and performance across markets.

Skills

Analytics engineering

Data analytics

Business intelligence

Stakeholder management

Communication

Education

Economics, Business Management, Statistics, Finance

Job description

The Business Intelligence & Analytics Manager is responsible for the data and analytics platform that supports commercial and operational decisions- making across international markets. This hands-on role combines business intelligence, data modelling and integration, forecasting and AI-enabled analytics. Working closely with Sales, Marketing, CRM and Customer Care teams, the Manager translates business needs into reliable data products, clear performance insights and strategic recommendations for senior management.

What You Will Do

Data Platform & Architecture

• Own and continuously evolve the analytics platform. Design and maintain scalable data warehouse and lakehouse architectures, dimensional models and governed semantic layers.
• Develop and manage automated ETL/ELT pipelines to acquire, transform, standardise and reconcile data from CRM, Marketing, Customer Care and other systems.
• Define common KPIs and reusable datasets across markets and functions. Implement data quality controls and anomaly detection processes, resolve data inconsistencies and optimise query, dashboard and refresh performance.
• Maintain comprehensive documentation of data lineage, transformations, business rules, metrics and operating procedures.

Business Intelligence & Commercial Analytics

• Develop and maintain dashboards to monitor performance by market, school, product, channel and campaign against budgets, targets and prior-year results.
• Analyse the end - to - end commercial funnel from lead generation and applications through enrolment, payments and cancellations.
• Identify trends in demand, pipeline quality and conversion rates, and recommend corrective or growth-oriented actions.
• Partner with Sales and Marketing teams to deliver ad hoc analysis, customer segmentation and campaign performance measurement.
• Monitor Customer Care performance, including service levels, response times, NPS and student feedback identifying opportunities to enhance customer experience and operational effectiveness.

Forecasting & Decision Support

• Develop commercial forecasts and scenarios analysis based on historical trends, seasonality, pipeline progression, conversion rates and cancellations. Monitor forecasts accurancy against actual results and continuously refine underlying assumptions.
• Quantify performance gaps against targets and assess the potential impact of commercial, marketing and student acquisition initiatives. Present risks, opportunities and recommendations to senior stakeholders.

AI, Automation & Data Innovation

• Drive the automation of recurring reporting, data reconciliation and manual analytical processes. Explore and implement AI-enabled capabilities including conversational BI, automated insights, predictive analytics, anomaly detection and sentiment analysis.
• Design, develop or support AI-enabled workflows and intelligent agents leveraging trusted corporate data establish business rules and governance frameworks.
• Prepare, structure and govern data assetsto ensure accessibility, quality and readiness for current and future AI use cases.
• Evaluate emerging data, analytics and AI technologies, assessing business value, scalability, security and and long-term maintainability.

Who We Are Looking For

• Successful studies in Economics, Business Management, Statistics, Finance
• Solid experience (min. 3 years) in business intelligence, data analytics, analytics engineering or data engineering, ideally combining hands-on technical work with direct business interaction.
• Proven experience in commercial analytics. Experience in an international, multi-market organisation (preferred).
• Business Acumen & Strategic Thinking
• Analytical Thinking & Problem Solving
• Communication & Stakeholder Management
• Autonomy & Prioritization
• Learning Agility & Adaptability

Permanent Contract: (38 hours)
Range salary: 45K-50K
Meal Voucher: € 8,00
Remote Working: 2 days per week

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