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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 to the selected candidate aims at consolidating and widening the general knowledge and technological knowhow of RGI in the field of the Business Intelligence.
Responsibilities
* Implement reports and dashboards leveraging best in class business intelligence tool (. Qlik Sense)
* Conduct analysis on insurance business topics: interview with client, 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
* Became responsible of specific project stream, 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 in 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 with 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
* Attitude at team-working
* Commitment, precision, autonomy
* Willingness of learning and delivering 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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