Role: Data Apprenticeship Coach
Location: Remote (home-based)
Contract: Full time, 37.5 hrs per week
Package: competitive base salary plus benefits
Job purpose:
You will join QA as a Digital Learning Consultant; your focus will be to provide learners with feedback and support on Data Support concepts by coaching and mentoring the learners working towards the successful and timely achievement of their apprenticeship programme.
About you:
You will have industry experience working in a data analysis role, worked with large sets of data using visualisation tools; PowerBi and Tableau, be proficient in statistical programming languages such as Python or R and competent in SQL and other databases. If you have an understanding of the developments in data analysis including data science concepts and have the ability to mentor and coach learners through their apprenticeship, then this could be the role for you.
A ‘day in the life’ of a Digital Learning Consultant:
Coach and support a caseload of learners. Collaborate with Learning Specialists and Quality Assurance Consultants to ensure learners successfully achieve their apprenticeship programme on time. Provide clear and detailed written feedback on learning activities and goal completion. Support learners online across a variety of modules specifically helping them apply their skills to their current job roles.
A little about QA:
We believe the answer to closing the digital skills gap lies with the people organisations already have and the talent we can bring for the future. We’re experts in reskilling, upskilling, apprenticeships, and other talent needs for leading enterprises and public sector organisations in the UK and we’re proud to work with some of the world's biggest brands including the BBC, AWS, Google, Deloitte, JP Morgan as well as small organisations to give them the competitive edge in the digital world of today. Our bespoke and customisable training methods, learning programmes and talent acquisition solutions cover all digital requirements including emerging and in-demand tech skills to transform the workforce and fuel the success of businesses.
