Data Analyst Technical Trainer (Apprenticeships

Pertemps Bond; London; Remote; GBP 38,000 - 45,000; Full time

Job summary

A leading company is looking for a Data Analyst Technical Trainer to deliver high-quality training on government-funded Data Analytics Apprenticeships. The role is mainly remote with some in-person sessions. Successful candidates will support apprentices in their qualification journeys, ensuring a comprehensive educational experience.

Benefits

Remote Working Flexibility

Generous Holiday Entitlement

Continuous Professional Development

Supportive Work Environment

Qualifications

• Relevant industry experience in Data Analytics is required.
• Experience delivering Apprenticeship Training Programmes is essential.
• Familiarity with online learning platforms and digital teaching tools.

Responsibilities

• Deliver engaging training sessions remotely and in-person.
• Mentorship for apprentices to build work-based skill portfolios.
• Develop and enhance curriculum tailored to learner needs.

Skills

Data Structures & the Analytics Cycle

SQL

Data Visualization

Power BI

Statistics

Programming with Python

Big Data

Education

PGCE, CertEd, QTS, Level 4 Teaching qualification

Level 2 Maths and English (GCSE A*-C / 9-4)

Job description

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Data Analyst Technical Trainer (Apprenticeships, London

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Client:

Location:

London, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

9d206f40d606

Job Views:

4

Posted:

02.06.2025

Expiry Date:

17.07.2025

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Job Description:

Location: Remote with occasional travel (6 days per year) to Central London
Salary: Up to £45,000
Benefits: 25 days holiday plus bank holidays
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About the Role
An exciting opportunity has arisen for a Data Analyst Trainer to deliver high-quality training on government-funded Data Analytics Apprenticeships. This role is predominantly remote, leveraging the latest online learning platforms, with occasional in-person sessions in Central London. As a Data Analyst Trainer, you will play a vital role in guiding learners through their qualification journey, helping them build a portfolio that demonstrates their practical skills and knowledge while fostering a positive and engaging learning environment.
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Key Responsibilities of the Data Analyst Trainer:
• Deliver Engaging Training Sessions: Provide dynamic and interactive Data Analytics training sessions remotely, with occasional in-person workshops, catering to various learning styles and ensuring an inclusive learning environment.
• Mentorship and Learner Support: Act as a mentor to apprentices, offering guidance and support in building work-based skill portfolios, ensuring they achieve their learning objectives and successfully complete their qualifications.
• Curriculum Development and Enhancement: Collaborate with the Curriculum & IQA and Service Delivery Teams to develop, enhance, and innovate training methodologies. Tailor teaching approaches to meet individual learner needs and industry requirements.
• Continuous Curriculum Review: Regularly review and update curriculum content to ensure relevance and accuracy, reflecting industry standards and emerging trends in data analytics.
• Progress Monitoring and Feedback: Track and monitor learner progress through various assessment methods, providing constructive feedback to promote development and achievement.
• Communication and Collaboration: Maintain regular communication with the Apprenticeship and Career Support teams to identify and support learners at risk of falling behind or requiring additional assistance.
• Training Plans and Customisation: Design and implement effective training plans that align with both employer and apprentice needs, ensuring a bespoke and flexible approach to learning.
• Quality Assurance and Compliance: Ensure all training delivery and assessment practices comply with internal quality assurance standards and external regulatory requirements.
• Safeguarding and Well-being: Uphold safeguarding and well-being standards, promoting a safe and supportive learning environment for all apprentices.
• Professional Development and Best Practices: Actively participate in professional development opportunities, sharing best practices with colleagues to enhance teaching and learning across the organisation.
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Required Technical Skills:
• Introduction to Data Structures & the Analytics Cycle
• Databases with SQL
• Data Visualisation with Tableau
• Dashboards & ETL Pipelines with Power BI
• Statistics, Modelling & Analytics with R
• Data Architecture & Governance
• Programming with Python
• Big Data
• Mongo DB (optional)
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Essential Qualifications/Experience:
• Teaching Qualifications:
o PGCE, CertEd, QTS or Level 4 Teaching qualification; or
o Level 3 Teaching qualification and willingness to achieve Level 4 within the first 6 months.
• Maths & English Qualifications:
o Level 2 or above in both Maths and English (e.g., GCSE A*-C / 9-4, Functional Skills Level 2).
• Industry Experience and Technical Competency:
o Relevant industry experience and technical competence in Data Analytics.
o Experience delivering Apprenticeship Training Programmes, particularly in a remote setting.
o Familiarity with online learning platforms and digital teaching tools.
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Benefits:
• Remote Working Flexibility – Enjoy a predominantly remote role with occasional travel for team collaboration and learner engagement.
• Generous Holiday Entitlement – 25 days holiday plus bank holidays.
• Continuous Professional Development – Access to ongoing training and development opportunities.
• Supportive Work Environment – Be part of a dynamic team dedicated to delivering high-quality Apprenticeship solutions.