Graduate Training Scheme - Analytics
2016-09-27 16:46:44
2017-07-06 00:00:00
- UK Wide, England
- £20K
- 6th Jul ’17
- Closed
This company is a provider of specialist analytics software solutions for their clients. Their clients span a number of FTSE100 companies across a range of industry sectors, including major high street banks and government institutions.
Graduate Training Scheme - Start date will be mid-January.
Interviews starting late October and to be concluded in early December.
This is a great time to get yourself a space on a great training scheme and start 2017 off with a bang!
They are seeking a number of candidates to join their graduate training scheme. 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 1 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: Jan 2017
- Training location: Cumbria then deployed to one client for 1-2 years. This will be a large town or city in the UK. You must be totally happy to be deployed anywhere in the UK for this placement.
- Paid during training: Yes
- Other: MUST be prepared to relocate throughout the UK for placement
- Salary: £20K while training and on probation, then reviewed and increased at regular intervals
Interested in knowing more? Please get in touch!
Requirements:
- 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 Mathematics, Statistics, Economics, Computing, Engineering or a primary science subject.
- A minimum achievement of a 2:1 level degree (or equivalent), supported by A-level equivalents in complementary subjects or excellent A-levels in non-related subjects.