- Hold a recognised Assessor award: D32/33, A1, CAVA or TAQA.
- Hold a Level 3 Teaching qualification: AET/PTLLS or above/equivalent.
- Hold own Maths and English GCSEs or Level 2 equivalents, and IT Functional Skills at Level 2 (minimum) or equivalent digital literacy.
- Ideally hold a data-related qualification/certificate, or extensive Data industry competency.
- Current / recent experience of delivering Apprenticeships Standards in Data Technician Levels 3 and Business Analyst Level 4 – similar
- Experience of training on a range of Excel, SQL, Power BI and RStudio courses
- A good understanding of Big Data, machine learning and statistics from an analytics perspective.
- Experience of supporting learners both face-to-face and remote.
- Full, clean UK driving licence and access to own vehicle.
- Must be flexible with UK wide travel when required.
Assessor / Trainer - Data Technician and Business Analyst
KM Education Recruitment Ltd
Posted 4 days ago, valid for 17 days
Birmingham, West Midlands B27 6QS, England
Full Time
In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.
Sonic Summary
- KM Recruitment is seeking an Assessor/Trainer for Data Technician and Business Analyst roles, offering a salary of £55,000 plus expenses.
- The position is home/field based and requires flexibility for travel across the UK.
- Candidates must hold a recognised Assessor award and a Level 3 Teaching qualification, along with GCSEs or equivalent in Maths and English.
- Experience in delivering Apprenticeship Standards for Data Technician Level 3 and Business Analyst Level 4 is essential, along with knowledge of tools like Excel, SQL, and Power BI.
- The role is full-time and permanent, targeting individuals with a strong background in data and analytics.