Business Intelligence & Analytics Manager / Headquarters

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.

• 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.

• 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.

• 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.

• 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.

• 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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