Business Intelligence Analyst H/F

Dainese is the global leader in protective equipment and apparel of excellence for motorcycling and dynamic sports. Headquartered in Vicenza, Italy, the company has a presence in EMEA, APAC and the Americas. Dainese owns three prestigious brands - Dainese, AGV and TCX - which are synonymous with innovation and technical excellence. It is present in 96 countries through a consolidated network of wholesale partners, 45 mono-brand shops and a direct e-commerce channel.

Dainese is looking for a BI Manager to support our ICT Department.

Reporting directly to the CIO, the Business Intelligence (BI) Manager is responsible for the design, implementation, and continuous evolution of BI systems and data integration platforms. This includes the development of advanced reporting solutions using Microsoft Fabric and Microsoft Power BI, the orchestration of data flows via SQL Server Integration Services (SSIS) and Azure Service Bus, and the integration of data from various enterprise systems.

Reporting directly to the CIO, the Business Intelligence (BI) Manager is responsible for the design, implementation, and continuous evolution of BI systems and data integration platforms. This includes the development of advanced reporting solutions using Microsoft Fabric and Microsoft Power BI, the orchestration of data flows via SQL Server Integration Services (SSIS) and Azure Service Bus, and the integration of data from various enterprise systems.

As a BI Manager , you’ll be responsible for:

~ Strategic Planning & Governance:

- Define BI vision and roadmap aligned with organizational goals.
-Establish data governance policies , including data quality, security, and compliance.
-Lead the design of the Microsoft Fabric architecture , including:
-OneLake setup and data lakehouse strategy.
-Integration with existing systems (ERP, CRM, PLM, etc.).
-Power BI, Data Factory, Synapse and Data Activator, etc.

~ Data Integration & Modeling:

-Oversee data ingestion pipelines from various sources (SQL, APIs, cloud apps).
-Guide the creation of semantic models and data marts using Fabric’s Lakehouse and Warehouse capabilities.
-Ensure reusability and scalability of data models across departments.

~ Manage BI developers, data engineers, and analysts.
-Promote self-service BI through training and governance of Power BI usage.
-Foster a data-driven culture across the organization.

~ Monitor system performance , query optimization, and cost management.
-Implement Fabric capacity planning and workspace management.
-Ensure data refresh reliability and dashboard responsiveness.

~ Define role-based access controls and workspace permissions.
-Collaborate with IT and security teams to manage data protection.

~ Ensure data accuracy and consistency across reports.
-Vendor & Stakeholder Management:

-Coordinate with Microsoft and system integrators for support and best practices.
-Manage budget and licensing related to Fabric and Power BI.

Microsoft Fabric Expertise
-OneLake, Lakehouse, Data Factory, Synapse, Power BI, Data Activator .
-Data Architecture & Modeling:

-Proficiency in dimensional modeling , star/snowflake schemas , and data lakehouse design .
-Strong grasp of data integration , ETL/ELT processes , and data lineage .

~ Power BI Mastery:

-Experience with Power BI governance , deployment pipelines , and performance tuning .

~ Cloud & Security Knowledge:

-Familiarity with Azure services , Microsoft Entra ID (Azure AD) , and role-based access control (RBAC) .
-Understanding of data privacy , compliance frameworks , and security best practices .

~ Business Acumen: Ability to translate business needs into data solutions and BI use cases . Data Governance & Quality: Experience in setting up data stewardship , metadata management , and quality assurance processes.

-Project & Change Management: Skilled in agile methodologies , project planning , and stakeholder communication . BI developers, data engineers, analysts . Experience in mentoring , performance management , and capacity planning .
-Ability to evangelize BI strategy and demonstrate value realization .
-Training & Enablement: Promote self-service BI and data literacy across the organization. Develop training programs and documentation for users and developers.