Live Vacancies

Data Analyst/ Analyst Programmer - SQL

  • Location

    London, England

  • Sector:

    Technology & Change

  • Job type:


  • Salary:

    £350 - £450 per day

  • Contact:

    Paul Parker

  • Contact email:


  • Job ref:


  • Published:

    12 months ago

  • Duration:

    6 months

  • Expiry date:


  • Start date:


  • Consultant:


SQL, Data Analysis, Technical Documentation, Relational Databases


Data Analyst is urgently required to join a Fortune 500 Financial Services organisation on a large Data Warehousing programme they are undergoing for an initial 6-month period.

Our client is looking for an experienced Data Analyst to join their team and implement best practice technical documentation for an Enterprise Data Framework programme. The successful candidate will be able to document, and catalogue SQL based programming techniques currently used by the development team.


*The succesful candidate will have strong experience from the Insurance sector.


Your responsibilities will include:

  • Documenting, communicating & maintaining effective technical processes for 50 systems
  • Writing and querying complex SQL code
  • Reverse engineering large sets of data
  • Accelerating & improving the effectiveness of the Data Warehousing programme
  • Modify existing software to ensure end user needs are met
  • Manage


The successful candidate will:

  • Have strong SQL writing & code querying experience
  • Understand relational databases
  • Have a background within the Insurance market
  • Have a strong background in Systems Documentation & Reverse Engineering
  • Be experienced with SQL programs in an Insurance firm
  • Have experience working with large data sets & manipulating this data through programming
  • Have an understanding of other programming languages (E.G. Java, HTML, C#)


This is an exciting opportunity for an experienced Data Analyst to make real change within a global organisation.


If you have the relevant skills, please apply accordingly for an immediate review of your CV.


SQL, Data Analysis, Technical Documentation, Relational Databases