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Sista ansökningsdag 2026-10-25

Analytics Manager at BNP Paribas Cardif

BNP Paribas Cardif Nordic ABTillsvidareanställning (inkl. eventuell provanställning)Publicerad 2026-10-07

BNP Paribas Cardif – the insurance company for a changing world. By understanding our partners' core business and needs, we offer tailor-made insurance solutions and create value for our partners - always with the customer in focus. BNP Paribas Cardif Nordic is the insurance unit within the banking group BNP Paribas, one of Europe's leading players within bank and finance services. We are now looking for a analytical and communicative team member. Someone who shares our commitment and sense of responsibility. Are you our new Analytics Manager? We are looking for... …a person that is motivated by working in a dynamic and international environment and have an easy time learning new tasks. In your role Analytics Manager it is also important that you have strong communication and influencing skills at all levels of the organisation. The role requires both business skills to manage and understand projects, together with technical coding skills to deliver it. As Analytics Manager you will… …expand our analytics capability, and we are looking for someone to shape it. You will join the pricing and analytics team, and your first months will be spent close to the business: working on pricing, learning our creditor protection portfolio, our partners and our economics. From there, you will take ownership of the analytics agenda: setting priorities, developing our data and reporting foundations, and delivering the use cases. As the capability grows, the role is intended to develop into ownership of analytics at company level. You will work across pricing, commercial and operations, and your work will reach the Executive Committee. Our wishes: - Education: Degree in Engineering, Statistics, Mathematics or related quantitative field. - Experience: Several years in analytics or data science, experience in insurance or financial services is a plus. - Technical skills: Strong proficiency in Python and SQL, with practical experience applying Generalized Linear Models (GLMs). Ex

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