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About the job
This company is a provider of specialist analytics software solutions for clients. Their clients span a number of FTSE 100 companies across a range of industry sectors, including major high street banks and government institutions.
Analytics Graduate Training Scheme - March 25th Start. They are not able to consider those candidates till studying for this intake. Interviews will be held throughout February and until all roles are filled.
Do you love analytics and data? Have you used software such as Maple, Matlab, R, E-views, Minitab, Python etc?
Do you want to receive specific analytics training in a very in-demand analytics package?
If so this role could be for you!
This is an exciting opportunity to receive comprehensive SAS training over an intensive eight week period. Following the course, you will be deployed with one of their blue-chip clients working amongst other SAS professionals.
The client offers a superb working environment, an attractive salary (from day one of training) and an unparalleled level of training in SAS and systems analysis techniques. Their programme provides a unique opportunity to gain a competitive advantage over the rest of the graduate entry-level market.
Things to consider:
Training scheme start date: March 25th 2019.
Training location: Cumbria then deployed to one client for 1-2 years. This will be a large town or city in the UK.
Paid during training: Yes.
Other: MUST be prepared to relocate throughout the UK for this placement.
Salary: £22K while training and on probation, then reviewed and increased at regular intervals.
Interested in knowing more? Please get in touch with a copy of your CV for review.
Previous applicants need not apply.
The company is looking for candidates who are self-driven, demonstrating strong analytical capabilities and excellent communication skills. The core to success is having a logical, inquisitive mind and an ability to apply knowledge to solve real-world problems.
Typically you will possess a degree demonstrating abilities in logic, analysis and data interpretation such as Maths, Statistics, Economics, Computing, Engineering or a primary science subject. A minimum achievement of a 2:1 level degree, supported by A-level equivalents in complementary subjects or excellent A-levels in non-related subjects.