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- Tasks: Deliver engaging Data Analytics training and mentor apprentices in a remote setting.
- Company: Join a dynamic team focused on high-quality government-funded Apprenticeships.
- Benefits: Enjoy remote work flexibility, 25 days holiday, and continuous professional development.
- Why this job: Make a real impact by guiding learners through their qualification journey in a supportive environment.
- Qualifications: Teaching qualifications and relevant industry experience in Data Analytics are essential.
- Other info: Occasional travel to Central London for in-person sessions, fostering collaboration.
Location: Remote with occasional travel (6 days per year) to Central London
Salary: Up to £45,000
Benefits: 25 days holiday plus bank holidays
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.
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.
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)
Essential Qualifications/Experience:
- 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.
- Maths & English Qualifications: 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: 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.
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.
Data Analyst Technical Trainer (Apprenticeships employer: Newcastle Perms (296)
Contact Detail:
Newcastle Perms (296) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst Technical Trainer (Apprenticeships
✨Tip Number 1
Familiarise yourself with the latest online learning platforms and digital teaching tools. Since this role involves delivering training remotely, showcasing your proficiency in these technologies during interviews can set you apart from other candidates.
✨Tip Number 2
Highlight any experience you have in mentoring or supporting learners, especially in a remote setting. Being able to demonstrate your ability to engage and motivate apprentices will be crucial for this role.
✨Tip Number 3
Stay updated on industry trends in data analytics and be prepared to discuss how you would incorporate these into your training sessions. This shows your commitment to continuous improvement and relevance in your teaching.
✨Tip Number 4
Network with professionals in the field of data analytics and education. Engaging with others can provide insights into best practices and may even lead to referrals or recommendations for the position.
We think you need these skills to ace Data Analyst Technical Trainer (Apprenticeships
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analytics and training. Emphasise any teaching qualifications and industry experience that align with the role of a Data Analyst Trainer.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for teaching and mentoring. Mention specific examples of how you've successfully delivered training or supported learners in the past, particularly in remote settings.
Highlight Technical Skills: Clearly outline your technical skills related to data analytics, such as SQL, Tableau, and Python. Provide examples of how you've applied these skills in previous roles or projects.
Showcase Continuous Learning: Mention any professional development courses or certifications you've completed, especially those related to teaching or data analytics. This demonstrates your commitment to staying current in the field.
How to prepare for a job interview at Newcastle Perms (296)
✨Showcase Your Teaching Skills
Prepare to demonstrate your teaching abilities during the interview. Consider bringing examples of past training sessions or materials you've developed, as this role heavily focuses on delivering engaging training sessions.
✨Highlight Your Technical Expertise
Be ready to discuss your experience with the required technical skills, such as SQL, Tableau, and Python. Providing specific examples of how you've applied these skills in a real-world context will show your competency and relevance to the role.
✨Emphasise Mentorship Experience
Since mentorship is a key responsibility, share any relevant experiences where you've guided or supported learners. Discuss how you helped them achieve their goals, which will demonstrate your ability to foster a positive learning environment.
✨Prepare for Curriculum Development Questions
Expect questions about curriculum development and enhancement. Think about how you've contributed to or improved training programmes in the past, and be prepared to discuss your approach to tailoring content to meet diverse learner needs.
