Business Intelligence & Analytics Manager / Headquarters
At a glance
Manager-level Data Analysis & BI role at Galileo Global Education. Milano · full-time · €45,000–€50,000 base.
dataroles summary, based on the employer's posting.
What you'll do
- Run the analytics platform and build warehouse, lakehouse and semantic models that support decisions across markets
- Connect CRM, marketing and customer care data through automated pipelines, shared KPIs and quality checks
- Track budgets and targets across markets, schools, products, channels and campaigns, then analyze funnel conversion
- Build forecasts from historical patterns and pipeline movement, compare them with actuals and explain performance gaps
- Automate recurring analysis and develop governed AI workflows, including predictive insights and anomaly detection
What you bring
- At least three years in BI, analytics or data engineering, combining technical delivery with business-facing work
- A background in economics, business management, statistics or finance
- Hands-on commercial analytics experience
Who this fits
This manager role suits someone who can work directly with commercial and operational teams while delivering technical data products. You’ll present findings and recommendations to senior stakeholders. The role includes two remote-work days per week.
From the employer
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
Tailored Training Paths
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