Business Intelligence Analyst Milano

Business Intelligence Analyst
Milano
Lombardia, Milano

The candidate will work in the R&D Product Factory, as part of the Business Intelligence & AI team with other experts in the field and will report to the BI & Data Science Lead.

The main activities required of the selected candidate aim at consolidating and widening the general knowledge and technological know-how of RGI in the field of Business Intelligence.

Responsibilities Implement reports and dashboards leveraging best-in-class business intelligence tools (Qlik Sense). Conduct analysis on insurance business topics: interview with clients, formalization of business requirements into specifications that will be used to implement the required reports and dashboards. Design & build management information dashboards to monitor internal processes and answer business questions about trends, opportunities, and data quality issues. Become responsible for specific project streams, ensuring a high level of data quality for core data sources and relevant KPIs. Research tools, frameworks, and mechanisms for data analytics, providing input to new technology opportunities that will have an impact on the company BI systems. Collaborate with Data Scientists in the RGI R&D Innovation Department, contributing to the development of new algorithms and models, providing application with vertical focus on the Insurance Industry. Experiences: 1-3 years' experience in a Business Intelligence and Analytics position.

Technical Competences Previous experience with a business intelligence tool (Qlik Sense, Tableau, Power BI). Proficiency in database query construction and data mining (SQL, PL/SQL). Experience in ETL tools (Talend, IBM DataStage, Business Objects, Alteryx) and management of databases is a strong plus. Knowledge of one of the following languages: Python, R, MATLAB, SAS is a plus. Proven capability to quickly grasp new processes and technologies. Knowledge of big data architecture and data manipulation tools, based on Cloudera and HortonWorks (Apache Spark, Elasticsearch, Kafka…) is a plus. Professional English knowledge. Personal Skills Teamwork attitude. Commitment, precision, autonomy. Willingness to learn and deliver innovation-based products to a wider audience. Attention to detail, passion for processes, systems, and data mining. Education: Master's Degree in Statistics, Applied Math, Physics, Engineering, Computer Science, or a related quantitative discipline.

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