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- Tasks: Deliver engaging Data Analytics training sessions and mentor apprentices remotely.
- 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 workshops.
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.
For more information please contact Simon Atkins on 07894 752230
Data Analyst Trainer- Apprenticeships employer: Pertemps Network Group
Contact Detail:
Pertemps Network Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst Trainer- Apprenticeships
✨Tip Number 1
Familiarize yourself with the latest online learning platforms and digital teaching tools. Since this role is predominantly remote, showcasing your proficiency in these technologies during the interview can set you apart from other candidates.
✨Tip Number 2
Highlight any previous experience you have in delivering training or mentorship, especially in a remote setting. Be prepared to discuss specific examples of how you've engaged learners and supported their development.
✨Tip Number 3
Stay updated on industry trends in data analytics, particularly around the tools mentioned in the job description like SQL, Tableau, and Power BI. Being able to discuss current developments will demonstrate your commitment to continuous learning and relevance in the field.
✨Tip Number 4
Prepare to discuss your approach to curriculum development and how you would tailor training plans to meet the needs of both apprentices and employers. This shows that you understand the importance of customization in training delivery.
We think you need these skills to ace Data Analyst Trainer- Apprenticeships
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analytics and training. Emphasize any previous roles where you delivered training or mentorship, especially in a remote setting.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for teaching and your understanding of the apprenticeship model. Mention specific skills and experiences that align with the job description, such as your familiarity with online learning platforms.
Highlight Technical Skills: Clearly list your technical competencies related to data analytics, such as SQL, Tableau, Power BI, 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, particularly those related to teaching or data analytics. This demonstrates your commitment to staying current in the field and improving your teaching methods.
How to prepare for a job interview at Pertemps Network Group
✨Showcase Your Teaching Skills
Prepare to demonstrate your teaching abilities during the interview. Think of examples where you've successfully engaged learners, especially in a remote setting. Highlight any innovative methods you've used to cater to different learning styles.
✨Discuss Your Industry Experience
Be ready to talk about your relevant industry experience in Data Analytics. Share specific projects or roles that showcase your technical competency and how they relate to the apprenticeship training you will be delivering.
✨Emphasize Mentorship Capabilities
Since mentorship is a key part of this role, prepare to discuss how you've supported learners in the past. Provide examples of how you've helped apprentices build their portfolios and achieve their learning objectives.
✨Familiarize Yourself with the Curriculum
Research the current trends in Data Analytics and be prepared to discuss how you would approach curriculum development and enhancement. Show your understanding of the importance of continuous review and adaptation to meet industry standards.
