Community Data Coach
We’re on a mission to create a diverse group of future leaders. We do that through professional apprenticeships because we believe learning on-the-job creates a more equitable and successful path to careers. We find, train and support talented individuals, wherever they are in their career journey, and equip them with the in-demand tech, software engineering, and data skills to transform their careers and deliver a better route to growth for their employers.
We’ve had some big achievements. We hit 10,000 apprentices in our community - and counting. We launched one of the largest data apprenticeship programs in the UK with Jaguar Land Rover, and we’ve partnered with companies like Mars, Verizon and CitiBank. Not to forget becoming a mission-driven EdTech unicorn after our $220m Series D.
But we aren’t stopping here. Join Multiverse and build the future of learning at work.
Learner Enablement aims to deliver efficient, impactful support for our apprentices alongside a Community experience that enable our apprentices to thrive throughout their journey with Multiverse.
The Community Data Coach will play a pivotal role in designing, implementing, and conducting 1-1 academic remediation and stretch sessions, resubmission support and technical skill-based events to support our apprenticeship programmes. The specialist will also work closely with the operations associate to analyse and interpret apprentice learning data to identify gaps, devise solutions, and encourage retention on-programme and timely completions.
Specifically you will...
Develop, implement, and maintain effective academic remediation solutions through 1-2-1s and group sessions tailored to the specific needs of apprentices and aligned with apprenticeship program objectives and outcomes.
Plan, organise, and deliver large-scale technical skill-based learning events that reinforce and enhance the learning experience of apprentices, fostering a collaborative learning environment that promotes skill development and community among learners.
Maintain close communication and collaboration with coaches, tech leads, and the learning team to utilise insights gained through tutoring sessions in order to improve the overall learning experience.
Accurately document and report the success metrics of each tutoring session and 1-2-1 interaction into the designated DIS and relevant tracking documents.
Utilise feedback received from participants to evaluate and assess tutoring sessions, identifying areas for improvement and developing strategies to enhance the overall quality and effectiveness of future interactions.
Monitor apprentices' progress, identify learning gaps, and assess the effectiveness of remediation strategies and learning events, utilising data to adjust remediation solutions and improve retention rates and learning outcomes.
Proven track record in devising and implementing effective learning remediation tactics.
Experience with apprenticeship programs, preferably with a technical/vocational training focus.
Strong data analysis skills, with the ability to use data to drive strategy and decision-making.
Excellent communication and interpersonal skills.
Deep understanding of technical skills related to the apprenticeship programmes offered. Priority skills and tools covered: SQL, Power Bi, Tableau, Python, Machine Learning
Knowledge of event planning and delivery (desirable but not essential)
Time off - 27 days holiday, plus 7 additional days off: 1 life event day, 2 volunteer days and 4 company-wide wellbeing days
Health & Wellness- private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Gympass and access to Spill - all in one mental health support
Hybrid & remote work offering - with weekly or monthly visits to the London office and the opportunity to work abroad 45 days a year
Team fun - weekly socials, company wide events and office snacks!
Our commitment to Diversity, Equity and Inclusion
We’re an equal opportunities employer. And proud of it. Every applicant and employee is afforded the same opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. This will never change.
All posts in Multiverse involve some degree of responsibility for safeguarding. Successful applicants are required to complete a Disclosure Form from the Disclosure and Barring Service ("DBS") for the position. Failure to declare any convictions (that are not subject to DBS filtering) may disqualify a candidate for appointment or result in summary dismissal if the discrepancy comes to light subsequently.