Data Analyst Alternance

Overview

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.

Responsibilities

As a Data Analyst, you will support the data analysis efforts within the TA&A Department, collaborating with team members and stakeholders to enhance decision-making processes, optimize team effectiveness, and drive continuous improvement. You will assist in building and maintaining the department's data infrastructure, ensuring data integrity, and providing insights through data analysis techniques.

• Assist in the development and maintenance of the department's data infrastructure, including mirror tables and data warehouses.
• Help ensure a shared understanding of data semantics, KPIs, and rules among stakeholders.
• Identify opportunities for data-driven automation and process improvement within operational workflows.
• Extract, transform, and analyze data from diverse sources to generate statistical insights and identify patterns.
• Assist in developing and maintaining dashboards, KPIs, and performance reports to provide a coherent vision of results to various teams.
• Support the data steward for the TA&A Community, maintaining the link between conceptual, logical, physical, and representational data layers.
• Conduct ad hoc analyses to support specific business questions or new initiatives.
• Create and present reports and recommendations to management based on data analysis.
• Perform data quality checks to ensure accuracy and reliability.
• Monitor and evaluate new and existing technologies to improve team performance and data analysis capabilities.

Qualifications

Required experience & competencies

Experience:

• Experience in data cleansing, extraction, transformation, and loading (ETL) processes.
• Familiarity with ETL tools such as Power Query, Talend, and Tableau Prep.
• Basic knowledge of dashboarding tools like Power BI, Tableau, and QlikView.
• Understanding of statistical concepts and proficiency in SQL, Python, or other data product development software.
• Ability to handle structured and unstructured data.
• goals.

Personal Competences:

• Strong analytical and conceptual capabilities.
• Good communication skills, with the ability to present data and insights clearly and concisely.
• Team collaboration skills and a strong sense of reliability and responsibility.
• Global thinking and the ability to contribute effectively to organizational

Required Education

• Commercial apprenticip and/or University degree in Accounting or Finance or IT.