Data Coach

Are you passionate about data, analytics, and training? Do you want to help launch the next generation of data analysts and data engineers into exciting careers? About iO-Sphere We train bright, ambitious individuals for careers in data engineering & data analytics at exceptional organisations. For individuals, we unlock high growth, rewarding careers in data analytics, and for employers, we offer a new talent pool of diverse data analysts and data engineers that have been trained with our experience-driven training model. We exist to break down the financial barriers to aspirational careers and provide individuals with hands-on commercial experience through our Experience Accelerator training programs. To date, we’ve trained 400 individuals across the UK, and we’re expanding our offerings in 2025. About the role iO-Sphere is hiring for a talented Technical Data Analytics Coach to help deliver our current Data Experience Accelerator training programs alongside our amazing existing coaching team. You will also help deliver training to our corporate clients. This role requires at least 2 years of hands-on experience in a real-world analytics setting to ensure our coaches understand the challenges and demands of the field. You will work primarily on our Analytics track and also support on Data Engineering. This will involve working closely with our amazing trainees – delivering sessions, running coaching groups, reviewing work and code. Our ethos is that our training is practical, useful, and employer-led, so we focus on real-world projects – dashboard building, segmentation, CLV, marketing and website optimisation, and forecasting. Our coaches work as a team to deliver a best-in-class learning experience for our Trainees and are responsible for making sure they are workplace ready by the time they graduate from the program. This involves working with trainees in large groups, small groups, and one-to-one. To be successful in this role, you will need to be passionate about teaching, coaching, and training because you will be working constantly with our bright, ambitious trainees. This will involve helping with their technical questions across our tech stack. This is a unique opportunity for an ambitious person who wants to join an exciting start-up and use their data experience in new and different ways . If you’re curious and want to know more, please apply so that we can have an initial conversation to answer any questions you might have. As a start-up, there are also lots of opportunities to get involved in other projects! Location: London iO-Sphere is headquartered in London, and this role will deliver in-person training on Mondays, Thursdays, and Fridays, and potentially other days as well. When you’re not scheduled for in-person training, you’re free to work remotely. You must have access to strong internet. Salary Range: £35-65k+ bonus. Dependent on experience. We’re also open to people who want to work flexibly or part-time. Who are we looking for? At iO-Sphere we value diversity, and we know we get the best learning outcomes when we have people from all different backgrounds. If you are in doubt about your suitability, please apply so that we can review your application! Our ideal candidate is: Mission driven – our small but mighty team all share our passion to democratise access to opportunity for ambitious job seekers. Collaborative – able to work in and lead a team, ask for help when they need it, and give help to others when needed. Driven and ambitious – we have exciting plans for iO-Sphere and are looking for someone to help us achieve them! Resilient and a problem-solver – there will be unexpected challenges to overcome and adapt to. Humble and ready to learn – this is start-up and we’re constantly evolving our courses – we all have a lot to learn! Trainee-centric – this role will live and breathe the trainee experience. This is an operational and execution role, and so you will need to be available to the students during normal working hours over slack and Zoom. Own it – able to make decisions, display ownership over their areas, take responsibility, operate independently, and support a high-agency culture. Responsibilities: Work with the coaching team to deliver the iO-Sphere Data Experience Accelerator and Corporate Training. This involves 25-30 hours of student facing training per week across a mix of different formats and styles. Facilitate and coach students directly in 1-2-1, in small groups, or in larger classroom sessions. This might be leading sessions on soft skills and business context, technical sessions such as code-alongs and technical walkthroughs of projects, presenting to large and small groups, or facilitating breakout sessions. Review student submissions to provide detailed feedback on code, presentations, and data analysis, ensuring each trainee is fully prepared for the workplace. Ensure the quality of the student-experience is top notch and that our students leave ready to take on exciting careers in data. Provide a fair assessment of each of the students on their performance within the course. Work with the career services team to help select the right trainees for the right employment opportunities. Minimum Requirements: Minimum 2+ years of commercial experience in a data-related role (e.g., data analyst, data engineer, or data scientist). All of our coaches have industry experience. Fluent in our tech stack – Excel, SQL, Power BI, Github, and Python. Right to work in the UK (unfortunately we are not able to accept candidates requiring sponsorship at this time). You’re a strong communicator with the ability to make analytics relatable and engaging. You have that special spark (‘a bit of rizz’) to inspire students and make learning enjoyable. Fluent in written and spoken English. Ideal Requirements: Experienced in data analytics – ideally as a data scientist or data analyst. Experience in guiding data projects from concept to impactful insights and actionable recommendations Experience facilitating teaching, training, and/or coaching sessions for groups of learners, or the desire to learn.