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Data Analyst Trainer- Apprenticeships

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Pertemps Network Group
Apprenticeship/Internship position
Listed on 2026-10-09
Job specializations:
  • Education / Teaching
    Online Teaching, Learning & Development Specialist, Training Instructor / Specialist, IT/Computer Science Instructor
Salary/Wage Range or Industry Benchmark: 40000 - 55000 GBP Yearly GBP 40000.00 55000.00 YEAR
Job Description & How to Apply Below

Location
:
Remote with occasional travel (6 days per year) to Central London

Salary
:
Up to £40000-£55000
- Dependent on Experience

________________________________________

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
  • Programming with Python

________________________________________

Essential Qualifications/Experience
  • PGCE, Cert Ed, QTS or Level 4 Teaching qualification; or
  • 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.
    • Familiarity with online learning platforms and digital teaching tools.

________________________________________

  • Remote Working Flexibility – Enjoy a predominantly remote role with occasional travel for team collaboration and learner engagement.
  • 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

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