Data Analyst Assessor (Level 3 & 4 Data Analyst Apprenticeship)
As an Independent Assessor, you will evaluate apprentices' evidence against the full Apprenticeship Standard, conducting interviews, reviewing submitted work, and applying grading criteria with constructive feedback. You must demonstrate deep subject-matter expertise in statistical analysis and be able to spot flawed methods, inappropriate techniques, and unsupported conclusions. The role offers flexible remote working, CPD time, and opportunities to shape EPA products through resource design and development.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
Job Title: Data Analyst Assessor (Level 3 & 4 Data Analyst Apprenticeship)
Location: Remote / Home Based
Job Type: Permanent
Salary: £45–55k
Industry: Education
Company:
A leading End-point Assessment Organisation is looking for a technically strong Data Analyst Assessor to support EPA Gateway readiness and conduct End-point Assessments for apprentices completing the Level 3 and Level 4 Data Analyst Apprenticeships.
This role is fully remote/home based with flexible working.
About the job:
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As an Independent Assessor, you'll use deep subject-matter expertise to assess apprentices' evidence against the full Apprenticeship Standard, conducting interviews, reviewing submitted work, and applying grading criteria with constructive feedback. Because you'll be judging apprentices' statistical and analytical competence, you must be able to evaluate the rigour of their methods: spotting flawed analysis, inappropriate statistical techniques, and unsupported conclusions, not just whether the work looks complete.
Beyond day-to-day assessment, you'll have CPD time and the opportunity to shape our EPA product, designing and developing assessment resources using your technical expertise.
The ideal candidate, essential technical bar:
- A minimum of three years' hands-on experience as a working data analyst, with demonstrable depth in statistical analysis, including descriptive and inferential statistics, hypothesis testing, regression, probability distributions, sampling, and forecasting techniques.
- Proven, practical proficiency in SQL and Python (including data-analysis libraries such as pandas/NumPy and statistical packages). This is a coding-capable role, not a tools-aware one, so you should be comfortable writing and reviewing analytical code.
- A degree in statistics, mathematics, data science, or a closely related quantitative field, or clearly demonstrable equivalent professional experience.
- Confident in working with CRM systems and a broad range of analytical tools and technologies.
Also important:
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- Excellent written and verbal communication, with the ability to produce high-quality reports and give precise, constructive feedback.
- Comfortable following processes, policies, and regulatory requirements.
- Strong customer service to internal and external stakeholders.
- Able to remain impartial, fair, and unbiased at all times.
No apprenticeship background is required, but you must be willing to develop your knowledge in this area.
One thing to include in your application: briefly describe a piece of analysis where you applied a specific statistical method (for example a regression or hypothesis test), and what the result told you.
If this matches your experience, please get in touch ASAP, as remote interviews are taking place immediately.
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