Annual wage £16,640.00 £8.00 per hour equating to £320 per week. £16,640 per annum (At MatBlas we work 40 hours per week) Working week Monday to Friday 40 hours per week during our standard business hours between 8am and 6pm [e.g. 8am-5pm or 9am-6pm]. The apprentice will be encouraged to take an hour lunch break during the working day. Total hours per week: 40 Expected duration 15 Months Possible start date 30 Jun 2024 Date posted 26 Apr 2024 Apprenticeship level Advanced Level 3 (A level) Reference number VAC1000246023 Positions 1 available What you will do in your working day We are looking for a rigorous, and quality-conscious data technician to collect, organise, and process information/data related to the insurance industry. The successful candidate will join our high performance insurance academy, a hands-on training programme that covers a combination of technical, business, and soft skills that are directly implemented in the day-to-day job. Tasks will include; Data collection - from public sources related to insurance companies and insurance trends. This data will feed to our pricing models developed in excel. ● Data entry – entering data into excel models / computer systems ● Data formatting - editing of existing information ● Data analysis - report findings to the management, analysing trends ● Visualisation tools - using visualisation tools such as Power Bi and Excel to present data The training you will be getting Data Technician Level 3: Modules covering Skills, Knowledge and Behaviours in Data You'll have a personal assessor to guide you through your training You will attend one-to-one sessions with your assessor every 2/3 weeks Technical training Occasional online group sessions to meet and network with other learners Functional Skills in English and maths if required End Point Assessment (online) www.boomtrainingltd.co.uk/courses What to expect at the end of your apprenticeship Possibility of a full-time position to be determined in due course. Requirements and prospects Desired skills and personal qualities IT skills, Attention to detail, Team working, Accuracy with processing Data, Reliable, Punctual, Eager to learn Qualifications GCSE or equivalent English (Grade 4/C or above) Desired GCSE or equivalent Maths (Grade 4/C or above) Desired