Business Analyst Alternance

SCOR

Paris

Sur place

EUR 18 000 - 21 000

Plein temps

14 jours+

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Résumé du poste

A leading global reinsurer in Paris is seeking a data analytics intern to join its Global P&C Portfolio Monitoring team. This position involves dashboard development, portfolio reviews, and automation of analytical processes. Candidates should possess a Master's level degree in Data, Computer Science, or similar fields, with strong skills in R, Python, and SQL. The role offers a chance to work in an agile international environment. Duration: 24 months starting September 2026.

Qualifications

  • Strong skills in R or Python, and SQL.
  • Knowledge of Tableau is a plus.
  • Knowledge of Tableau is a plus.

Responsabilités

  • Take part in dashboard development including decommissioning and consolidating dashboards and/or reports.
  • Initiate portfolio review to monitor performance and draw lessons or identify warning signs.
  • Produce analyses and engage discussions with business of the outcomes.
  • Participate in automation of analytic processes.

Connaissances

R
Python
SQL
Tableau

Formation

Master's level (M1/M2) in Engineering, Data, Computer Science, or Actuarial degree

Outils

Tableau

Description du poste

As a leading global reinsurer, SCOR offers its clients a diversified and innovative range of reinsurance and insurance solutions and services to control and manage risk. Applying "The Art & Science of Risk," SCOR uses its industry-recognized expertise and cutting-edge financial solutions to serve its clients and contribute to the welfare and resilience of society in around 160 countries worldwide.

Working at SCOR means engaging with some of the best minds in the industry - actuaries, data scientists, underwriters, risk modelers, engineers, and many others - as we work together to find solutions to pressing challenges facing societies.

As an international company, our common culture is defined by "The SCOR Way." Serving both to build momentum that drives the Group forward and as a compass to guide our actions and choices, The SCOR Way is anchored by five core values, reflecting the input of employees at all levels of the Group. We care about clients, people, and societies. We perform with integrity. We act with courage. We encourage open minds. And we thrive through collaboration.

SCOR supports inclusion and the diversity of talents, and all positions are open to people with disabilities.

Join SCOR's Global P&C Portfolio Monitoring team to work on data analytics, dashboards, business reporting and automation in an international environment supporting SBS and Cedant Fac units.

You will be a team member of our Global P&C CUO Portfolio Monitoring Team. The team that you are joining has particular focus on the SBS and Cedant Fac units (the direct insurance units within SCOR.) You will be working on projects on multiple aspects including, but not limited to, data analytics, dashboard development, business reporting and facilitate implementation to the business.

Responsibilities

The role has a few key responsibilities, which might be tailored to reflect your skillsets and the course requirements. The key duties are to:

  • Take part in dashboard development including decommissioning and consolidating dashboards and/or reports
  • Initiate portfolio review to monitor performance and draw lessons or identify warning signs
  • Produce analyses and engage discussions with business of the outcomes
  • Participate in automation of analytic processes

We are looking for someone who likes to solve problems, to challenge yourself with innovative analysis, bringing creativity and new perspectives. If you want to learn in an international, agile and highly transverse environment on fascinating topics in insurance and the analytics world, send us your application!

Keywords: computer science, data analyst, business analytics, programming, internship, reinsurance, insurance

Qualifications

Master's level (M1/M2) or final year of an Engineering, Data, Computer Science, or Actuarial degree.

Strong skills in R or Python, and SQL.

Knowledge of Tableau is a plus.

This position is based in Paris and is to be filled starting in September 2026 for a duration of 24 months.

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