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:

1. 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.
2. 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.
3. 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.
4. Continuous Curriculum Review:Regularly review and update curriculum content to ensure relevance and accuracy, reflecting industry standards and emerging trends in data analytics.
5. Progress Monitoring and Feedback:Track and monitor learner progress through various assessment methods, providing constructive feedback to promote development and achievement.
6. 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.
7. 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.
8. Quality Assurance and Compliance:Ensure all training delivery and assessment practices comply with internal quality assurance standards and external regulatory requirements.
9. Safeguarding and Well-being:Uphold safeguarding and well-being standards, promoting a safe and supportive learning environment for all apprentices.
10. 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:

1. Introduction to Data Structures & the Analytics Cycle
2. Databases with SQL
3. Data Visualisation with Tableau
4. Dashboards & ETL Pipelines with Power BI
5. Statistics, Modelling & Analytics with R
6. Data Architecture & Governance
7. Programming with Python
8. Big Data
9. Mongo DB (optional)

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Essential Qualifications/Experience:

1. Teaching Qualifications:
   • PGCE, CertEd, QTS or Level 4 Teaching qualification; or
   • Level 3 Teaching qualification and willingness to achieve Level 4 within the first 6 months.
2. Maths & English Qualifications:
   • Level 2 or above in both Maths and English (e.g., GCSE A*-C / 9-4, Functional Skills Level 2).
3. Industry Experience and Technical Competency:
   • Relevant industry experience and technical competence in Data Analytics.
   • Experience delivering Apprenticeship Training Programmes, particularly in a remote setting.
   • Familiarity with online learning platforms and digital teaching tools.

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Benefits:

1. Remote Working Flexibility - Enjoy a predominantly remote role with occasional travel for team collaboration and learner engagement.
2. Generous Holiday Entitlement - 25 days holiday plus bank holidays.
3. Continuous Professional Development - Access to ongoing training and development opportunities.
4. Supportive Work Environment - Be part of a dynamic team dedicated to delivering high-quality Apprenticeship solutions.

For more information please contact Simon Atkins on

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