Business Intelligence and Analytics Specialist
4 settimane fa
The RGI Group is seeking a highly skilled Business Intelligence and Analytics Specialist to join its R&D Product Factory team. As part of the Business Intelligence & AI team, you will work alongside experts in the field and 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, such as Qlik Sense.
- Conduct analysis on insurance business topics, including interviews with clients and formalization of business requirements into specifications.
- Design and 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 impact the company's BI systems.
- Collaborate with Data Scientists in the RGI R&D Innovation Department, contributing to the development of new algorithms and models, with a 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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