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Data Analyst - Reinsurance Market Math//Numerical grad

Graduate at Taylor James Resourcing

Data Analyst - Reinsurance Market Math//Numerical grad

Graduate at Taylor James Resourcing

  • LocationLondon, UK
  • Position levelGraduate
  • Job period iconFull-time employment
  • Application deadline iconPosted on 10 Sep, 2018
  • Start date iconStart date:
  • Visa iconVisa Sponsor
  • Competitive£ 28,000.0 per year
A City based Global Market leading Reinsurance Group seeks a graduate (Math/Numerical) to work in a Data Analyst position. Candidates will have ideally 6 months analytical experience, financial or insurance related, a person who is keen to develop their career and also take professional exams. You will have strong good excel knowledge, some VBA/SQL exposure would be great.
Working within Data Management Team, The Team is responsible for :
* Translating and validating client data and ensure storage in consistent format
* First point of contact for all data issues in the branch
* Supporting various functions within the business on specialist data and reporting needs.
* Producing data analysis and reports for internal and external clients
* Develop and manage data transformation scripts used for various client data.
* Data cleansing, profiling, mapping and mining.
* Develop and support various adhoc reporting needs for both external and internal clients.
* Support business requirement gathering activities especially on their data and reporting needs.
* Ensure data stored in consistent format and in line with treaty arrangements
* Support and improve where possible tools used in the team.
* Liaison with internal and external clients to fully understand data content to maximise the benefits to the business, uncovering possible weaknesses and working for their correction.
* Gather, understand and document detailed business requirements for data using appropriate tools and techniques, and ensure these are agreed at all levels throughout the business.
* Managing own work priorities; working in a highly organised way. Managing colleagues' expectations.
* Ensuring data used in various work streams are of good quality and up to date.
Determining, monitoring and reporting the quality of client data
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