Digital Apprenticeship Assessor
D
DecodedDigital education
Source API remote eligibility restrictions: United Kingdom, 9 am to 5 pm, Monday to Friday (UK time); occasional flexibility to work outside normal hoursFull-TimeJunior
SalaryUp to£38,000 per annum
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Job Details
- Experience
- 2+ years of experience assessing data or digital apprenticeship standards
- Required Skills
- SQLMicrosoft Power BITableau
Requirements
- Have 2+ years of experience assessing data or digital apprenticeship standards.
- Hold an assessor qualification such as TAQA, A1, CAVA, or equivalent.
- Have strong knowledge of data collection, analysis, and interpretation.
- Have experience using AI tools.
- Have advanced Excel skills.
- Have SQL skills.
- Be competent in using AI tools and AI automation.
- Have knowledge of GDPR and data governance.
- Knowledge of Power BI and/or Tableau is listed as a technical skill.
- Python is listed as a technical skill.
- An IQA qualification is desirable.
- A data- or analytics-related degree or professional qualification is desirable.
- EPA assessment experience is desirable.
- Be prepared to undergo a DBS check; an Enhanced DBS check, including a barred list check, is required where the role meets regulated-activity criteria.
Responsibilities
- Assess apprentices against digital standards, including Data Technician, Data Analyst, Digital Support Technician, and Machine Learning standards.
- Evaluate projects, professional discussions, observations, and mock professional discussions.
- Make accurate and timely assessment decisions and provide clear, constructive feedback.
- Work with the Learner Support Coaching team to determine when learners are ready for assessment.
- Liaise with the IQA team on sampling and validation of assessment decisions.
- Maintain accurate assessment records and comply with Assessment Organisation, DfE, and IQA requirements.
- Apply equality, diversity, and inclusion principles and ensure learner inclusion during assessments.
- Comply with safeguarding, Prevent duty, and data protection requirements.
- Maintain current occupational knowledge of data and AI roles and tools, and undertake continuing professional development.
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