Adam Spoors

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Data Analyst Apprenticeship Coach

Ref #: 32193_1631537892
Adam Spoors 28/10/2021
Location: Fully Remote Not Disclosed Fully Remote
Salary: £45000 - £55000 per annum £
Type: Permanent
Seniority: Associate
Date: 28/10/2021
Data Analyst Apprenticeship Coach

Data Analyst Apprenticeship coaches - such an in demand role since the introduction of Data programmes and how steeply they have taken off with providers delivering in line with employers requirements for this skill set.

We are looking for both Qualified and unqualified trainers and coaches. By unqualified, I mean if you've been in Data lead roles and fancy becoming a trainer, but don't have any coaching or training experience. If this is you, skip down a little bit where I go in to more detail on what this can offer you.

For qualified Apprenticeship Coaches, let's be frank - you know the role. This one is that of a Skills Coach, so you will be supporting your learners with their portfolios, and making sure they are ready for EPA at the end of their learner journey. You will have a separate Trainer who does all the knowledge modules and you will ensure this knowledge has been taken onboard and is being applied in the work place. So really, what you want to know is why these guys, and why would this be of interest over the many other providers out there?

They are a strong name in the FE market place. Have been recognised as a leading IT & Digital training partner for many years now, and a constant through all the changes we have seen. As I've already illuded to, they split their delivery model so they have specialist trainers, and you as the coach work more individually with the learners.
Some of the day to day stuff, you've got all the up to date tools to support you in your own role. Most learners are based in and around the South of the UK with some leading employers, but this role is remote with a team meeting once a month.

On a wider note, the provider have hit some amazing recognitions including UK's best workplace for 4 consecutive years from 2015-2018, FE week digital provider of the year, Best workplace for women in 2018 demonstrating diversification and equality, along with a few others and huge charity fund raising milestones. So all of the above, demonstrates their commitment to the workforce.

For those of you reading this who aren't qualified coaches, but are thinking you'd fancy a bit of this, then this is for you.

The Apprenticeship and Skills market is one that has seen huge investment in recent years, is an ever present form of education and is destroying the stigma of Apprenticeship being a lesser from of education than the University route. There are such a wide variety of Apprenticeship programmes now, and the Technical and Digital pathways are at the forefront of this. The FE market is also a leading market in the country's plans to recover from Covid, and to bridge the digital skills gap, meaning it's a pretty sound career choice for stability and longevity.
As mentioned above, this is a coaching role, where you will support learners (your students) with their learning throughout the programme. This more often than not, is providing coaching and mentoring on an individual basis ensuring that the knowledge gained from their group sessions (delivered by specialist trainers on particular topics, Python for example) can be understood and applied to the workplace. The workplace is Key. Apprenticeships are vocational learning, which means all knowledge must be practically applied to a job, role, or task in order to successfully achieve in the course. Having worked in the data field, you will have experienced some of the day to day tasks in which a learner will have to apply their knowledge.

There so much more I can go into when we speak, but what will you need for this role? You'll have to have had a career or worked in a Data Analyst, or Data focused role in your career and be qualified as such. You don't need to be an expert in all of these, but a working knowledge of most is ideal and any gaps can be taught - Data Structures and Analytics Cycle; SQL, Tableau, Power Bi, Modelling & Analytics with R, Architecture & Governance, Programming with Python, Big Data, and Mongo DB.

That's the technical knowledge. The rest are much softer skills around having a desire or passion for wanting to support junior talent and improving the skilled talent in your field. Communication and empathy will play a huge part in being successful in this role.

read enough to find out more? I look forward to speaking further.

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