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Role Highlights
* Python
* Java
* C#
* Data Science
* Data Analysis
* Data Architect
* Relational Database
* Data Structures
* Automation
* Mathematics
* ETL
* ELT
Tools, Libraries and Frameworks
* SQL Server
* MS SQL
* MS SQL Server
* Hubs
* VBA
* Oracle
* PostGres
* Tableau
Description
Legal & General is seeking a highly skilled individual to contribute to their Finance data strategy. The role involves ensuring efficient sourcing, processing, and maintenance of data to meet finance needs. The successful candidate will collaborate with stakeholders, manage data processes, and provide expert advice on implementing data solutions. Engaging in discussions about data governance and strategy will be a significant part of the responsibilities.
Required Qualifications and Skills
A graduate degree in Data Science or Mathematics is desirable. The candidate should have experience in projects within a Finance function and proficiency in various data programming and visualization tools. Strong analytical and troubleshooting skills are essential, along with excellent communication abilities for relationship-building. Familiarity with relational databases and ETL/ELT tools is also required.
Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.
About the company
LegalAndGeneral
Description
Legal & General helps over ten million people globally with savings, retirement plans, and life insurance through its numerous functions, including tech, digital, finance, HR, risk, and corporate communications. The company plays a crucial role in supporting all areas of the business in the UK and overseas, enabling Legal & General to improve customer lives and contribute to the success of the business. L&G's Group IT & Digital and Group Data & Analytics departments provide essential support services, indicating the company's investment in technology and data to enhance operational efficiency and customer experience.
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