In this role you'll be working as part of our Learning & Organisational Development team, supporting the delivery, administration and continuous improvement of learning programmes across Change Grow Live.
You'll support:
Apprenticeship programmes, which are delivered through external training providers, by helping coordinate learner journeys, provider relationships, records and reporting.
Accredited and regulated learning programmes, which are delivered internally to staff and volunteers, by supporting administration, learner engagement and quality processes.
You'll:
Maintain accurate learner records across relevant systems and databases.
Support the development of reports and dashboards to help the team understand learner participation, progress, completion and outcomes.
Collect, analyse and present learning data to identify trends and support decision-making.
Support data quality checks and help ensure information is accurate, timely and meaningful.
Provide administrative support for learner onboarding, registration, certification and completion processes.
Coordinate communications between learners, managers, training providers and awarding bodies.
Support audits, quality reviews and compliance activities.Help gather learner feedback and evaluation information to understand the impact of learning.
Contribute ideas for improving processes, systems and reporting approaches.
Work collaboratively with colleagues across Learning & Organisational Development and wider teams.
As part of the role, you'll complete a Level 3 Data Technician Apprenticeship, developing skills in collecting, analysing and presenting data, while applying your learning directly to real organisational challenges.Training:Your apprenticeship training will be delivered fully online by Cambridge Spark, allowing you to complete your learning flexibly alongside your role at Change Grow Live. You will access learning through Cambridge Spark’s online learning platform, with support from a dedicated Data Mentor and Learner Success Coach.
You will complete 13 months of apprenticeship training, including dedicated off-the-job learning time each week to develop your data skills. The programme includes online learning, practical activities and workplace-based projects, enabling you to apply your learning directly to your role and support the development of data reporting across Change Grow Live.
(No travel to a training centre is required.)Training Outcome:Completing this apprenticeship will give you valuable experience and a recognised qualification to support your future career. Within Change Grow Live, there may be opportunities to continue developing within Learning & Organisational Development, data, reporting, administration or other roles where you can use your new skills to support organisational improvement.
The experience gained could also provide a strong foundation for a career beyond CGL, including roles such as Data Administrator, Reporting Officer, Learning and Development Coordinator, People Data Analyst or other data-focused positions across a range of sectors. We’re committed to supporting your development and helping you build the skills and confidence to take your next career step.Employer Description:Change Grow Live are a charity dedicated to the belief that we can make a difference to people's lives, offering support and respect in a safe environment, treating everyone as an individual and working together to help people reach their full potential.
Our core values are Be Open, Be Compassionate and Be Bold, and our colleagues bring these to life every day.
Everything we do starts with one simple principle: we believe in people. When you join us, you’ll be part of a workplace where you are respected, supported and valued.
Our commitment to everyone who works and volunteers with us is set out in our People Promise, which outlines how we seek to thrive together, learn together, and create a place where everyone belongs. Our promise is this:
Thriving. When you join us, we want you to step into an environment where your success truly matters. We recruit with care, recognising not just skills, but potential. Here, effort is seen, appreciated and rewarded. You’ll be supported to stay safe, healthy, agile, and able to work flexibly so you can do your best work and feel your best doing it.
Belonging. We want you to feel at home, and to feel that you are part of something bigger. We are inclusive by design– engaging, listening and connecting at every level of the organisation. Every voice counts, and every person is valued.
Together. You won’t be on your journey alone. We value learning together, developing together and growing together. We’re committed to helping you build your skills, explore new opportunities and shape a future you are proud of.
Working Hours :Monday to Friday 9am to 5pm.Skills: Communication skills,IT skills,Attention to detail,Organisation skills,Problem solving skills,Administrative skills,Analytical skills,Team working,Initiative....Read more...
Key responsibilities:
Assisting in the collection and organisation of raw data from various sources to support data-driven leadership
Learning to transform data into usable formats for analysis, ensuring the data is ready for decision-making processes
Collaborating with the team to validate data quality and helping maintain clean and accurate datasets for reliable insights
Gaining exposure to database administration tasks and assisting in monitoring and optimising database performance for efficiency
Learning about data modelling techniques and contributing to the development of data pipelines to streamline data processes
Documenting processes, procedures, and best practices, as well as assisting in creating data-related reports to communicate findings effectively.
Training:Qualification:
BSc (Hons) Data Science
Duration - 42 months (including EPA period)
Delivery - Blended learning: combines remote online learning and face to face teaching delivered by block release in Nottingham
Entry requirements:
Grade 5 in GCSE Mathematics or equivalent, Grade 4 in GCSE English Language or equivalent (prior to admission)
with
BBC at A-Level to include Maths
The following A-Levels are not accepted: Citizenship Skills, General Studies, and Critical Thinking.
Candidates are reviewed on a case-by-case basis enabling employees with lower-level apprenticeships (including Level 4 Data Analyst), a strong mathematical background or substantial work experience with relevant qualifications to be considered. Apprentices’ prior learning may affect the start date of their programme.
All apprentices must:
Be working in a job role that provides opportunities to apply and develop the knowledge, skills and behaviours from the programme, outlined in the Level 6 Data Scientist Degree Apprenticeship Standard.
spend at least 50% of their working hours in England over the duration of the apprenticeship. This also applies to remote and hybrid workers.
Have access to the off-the-job training detailed in their individual learning plan.
Must have a valid and eligible residency status and the right to work in England.English and maths eligibility requirement
English and maths eligibility requirement is assessed based on the apprentice's age at the start of their apprenticeship. Please note that English and maths eligibility requirements do not supersede programme entry requirements.
Aged 16-18: Apprentices who do not hold a level 2 qualification in English and Maths must study towards and achieve this during their apprenticeship. Funding is available.
Aged 19+: There is no mandatory requirement to complete Level 2 English and maths. However, apprentices or employers may opt-in for the apprentice to study towards an English and maths qualification if they don't already have an equivalent qualification, with funding available if they choose to do so.
Apprentices who do not provide a suitable Level 2 English certificate, and do not hold an appropriate English language equivalent qualification from this list, will also need to provide an International English Language Testing System (IELTS) result that is dated within the last two years. The minimum requirement for this programme is an overall score of 6.0, with no less than a 5.5 in each of the individual elements. The university’s policy around this can be found here.
Start date - September 2026.Training Outcome:The department leads strategic transformation projects, develops trust-wide digital capability, strengthens communication and engagement, and ensures that technology and data are used purposefully to improve experiences for staff, pupils and families. By combining this expertise with a strong understanding of education, the team helps schools focus on what matters most, delivering outstanding learning opportunities and supporting every child to thrive. Operational Excellence is not simply a support function; it is a catalyst for innovation, continuous improvement and sustainable organisational growth.Employer Description:As one Trust we share a common purpose. We call it our social mobility and social justice mission to change our communities through the very best equitable education. When we get this right, it enables our children and young people to fulfil their potential, thrive in the world of work, and make a positive contribution to the local, national and international community.Put simply, our common purpose is to increase opportunities and improve outcomes for our students. We are particularly committed to students who are under-served and under-resourced. We prioritise those who have special educational needs and disabilities, or who are more likely to face discrimination for whatever reason.It is this common purpose that fuels everything we do. We deliver impactful, sustainable and ethical continuous school improvement in our schools to ensure the children and young people in the communities we serve learn in the very best and most inclusive schools. We are deeply rooted in the communities we serve (which are the education investment areas of the West Midlands). We adopt a pioneering spirit and look to lead the sector with innovative solutions to the problems our students and families face.Working Hours :Monday to Friday 8am to 4pm with some flexibilitySkills: Communication skills,IT skills,Attention to detail,Organisation skills,Customer care skills,Problem solving skills,Presentation skills,Administrative skills,Number skills,Analytical skills,Logical,Team working,Initiative....Read more...