Specialist Data Analyst
Pubblicato il 01-09-2026 - Tenova in Italia
Job description We are looking for a motivated Data Analytics Specialist to join our ICT Team and contribute to our Artificial Intelligence initiatives. If you're eager to learn, passionate about data and technology, and excited to work in a multicultural and dynamic environment, this could be the perfect opportunity for you.
Key Responsibilities
Collaborate with business and technology leaders to define theAI strategy for data analytics, focusing on decision support and predictive capabilities
Evaluate and contribute to theselection and implementation of the AI-powered analytics platform, ensuring alignment with Tenova's strategic goals
Explore and prototypeAI/ML modelsto extract insights from structured and unstructured data, supporting strategic planning and operational excellence
Support the transition from legacy systems (e.G., SAP BW) by ensuring continuity of data access and quality, while driving innovation through new platforms
Design and deliverinteractive dashboards and visualizations(Power BI or similar) to communicate insights effectively to stakeholders
Ensure data governance, security, and compliance across all analytics and AI initiatives
What we ask for
Solid experience withSAP Business Warehouse(data modeling, ETL, reporting)
Strong understanding ofdata analytics architectures, with interest or experience inAI/ML applications
Familiarity withPower BIor other BI tools is a plus
Strategic mindset with the ability to translate business needs into data-driven solutions
Excellent communication and stakeholder engagement skills
Fluent in English
What we offer
The opportunity to work on innovative AI-driven projects with a direct impact on business performance
A dynamic and international environment where ideas are valued and innovation is encouraged
Continuous learning opportunities through training, exposure to new technologies and cross-functional collaboration
Hybrid working model according to company policy and role requirements
Performance Managemen