03 set - Bologna
EXOR International
ppThe Data Analyst/BI Specialist is responsible for collecting, integrating, modeling, and leveraging data from company systems (MES, ERP, quality and production systems), transforming it into useful information to support decision-making and improve operational performance.
/p h3Responsibilities /h3 ulliLeading sales and business development in the designated region.
/li /ul h3Key Responsibilities and Activities: /h3 ul liDesign, develop, and maintain Power BI dashboards and reports to monitor KPIs related to production, quality, efficiency, and operational performance.
/li liCollaborate with the MES application development team to define metrics and translate operational needs into data models and structured reporting.
/li liImplement and optimize Power BI data models using DAX, modeling best practices, and performance tuning strategies.
/li liManage report refresh and publishing processes, ensuring reliability, security, and performance.
/li liDevelop and maintain ETL pipelines for ingesting and transforming data from MES, SQL databases, and corporate APIs.
/li liEnsure the quality, consistency, and traceability of data used in decision-making processes.
/li liMonitor and support data loading processes and Business Intelligence services, identifying and resolving any anomalies.
/li liDraft technical and functional documentation and provide training support to end users.
/li /ul h3Required Skills and Knowledge: /h3 pAt least 3 years of experience in the role and in the specific context required.
/p h3Business Intelligence and Reporting /h3 pExcellent knowledge of Power BI Desktop and Power BI Service.
/p pExperience designing management and operational dashboards.
/p pAdvanced knowledge of the DAX language.
/p pExperience in data modeling (star schema, dimensions, facts).
/p pExperience in performance optimization and incremental refresh management.
/p h3Data Integration and Database /h3 pKnowledge of Apache NiFi or equivalent data integration tools.
/p pGood knowledge of SQL Server and the SQL language.
/p pExperience integrating data from MES and REST API services.
/p h3Monitoring and Automation /h3 pKnowledge of automation processes and refresh scheduling.
/p pFamiliarity with monitoring tools such as Grafana and Prometheus.
/p h3Preferred factors: /h3 pExperience in manufacturing or industrial environments.
/p pKnowledge of production processes, quality, OEE, and factory KPIs.
/p pExperience with MES systems.
/p pFamiliarity with Microsoft Azure cloud environments.
/p pExperience in multinational and multi-site environments.
/p pAnalytical skills and problem-solving attitude.
/p pAbility to interact with technical and business stakeholders.
/p pAbility to organize work independently.
/p pStructured approach to documentation and standardization.
/p pGood communication and user training skills.
/p h3Education: /h3 pDegree in Computer Science, Management Engineering, Computer Engineering, Statistics, Mathematics, or related disciplines.
/p h3Working hours: /h3 pFull-time with the option of remote working two days a week.
/p h3Classification: /h3 pCCNL Tertiary Trade.
/p h3Approximate salary: /h3 p€35,000-€40,000 (defined based on objective and gender-neutral criteria).
/p /p #J-*****-Ljbffr
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