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- Tasks: Help train the next generation of data analysts and scientists through hands-on coaching.
- Company: iO-Sphere empowers individuals for careers in data analytics and engineering with innovative training programs.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for personal growth in a start-up environment.
- Why this job: Join a mission-driven team focused on democratizing access to data careers while making a real impact.
- Qualifications: 5+ years in a data role, fluent in SQL, and strong communication skills are essential.
- Other info: Flexible arrangements available; apply even if you're unsure about your fit!
The predicted salary is between 32000 - 48000 £ per year.
Are you passionate about data, analytics, and training, and want to help launch the next generation of data analysts and data scientists in their 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, 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 build and deliver our current Data Experience Accelerator training programs alongside our amazing existing coaching team. You will also help deliver training to our corporate clients and apprenticeships. This role requires at least 2 years of hands-on experience in a real-world data analyst / data science 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, reviewing work and writing code. Our ethos is that our training is practical, useful, and employer-led, so we focus on real-world projects – dashboards, 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 the role is hybrid, delivering in-person training on Mondays, Thursdays, and Fridays most weeks. When you're not scheduled for in-person training, you're free to work remotely. We are also open to part time and flexible arrangements however all London based roles require in-person delivery.
Salary Range: £40k-60k plus bonus. Dependent on experience.
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, Apprenticeships, and Corporate Training. This involves 25-30 hours of student facing training per week across a mix of different formats and styles
- Support in in building and developing our technical curriculum
- 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 5+ years of commercial experience in a data role. All of our coaches have industry experience
- Fluent in SQL and experience in at least one programmatic language (preferably 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:
- 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.
Data Analytics Coach employer: IO Sphere
Contact Detail:
IO Sphere Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analytics Coach
✨Tip Number 1
Make sure to showcase your hands-on experience in data analytics during the interview. Prepare specific examples of projects you've worked on, especially those that involved real-world applications like dashboards or forecasting.
✨Tip Number 2
Familiarize yourself with iO-Sphere's training model and ethos. Understanding their focus on practical, employer-led training will help you align your answers with their mission during discussions.
✨Tip Number 3
Highlight your collaborative skills and experiences. Since the role involves working closely with a coaching team and trainees, demonstrating your ability to work well in a team and support others will be crucial.
✨Tip Number 4
Prepare to discuss how you can contribute to the trainee experience. Think about ways you can make learning engaging and relatable, as this is a key aspect of the role at iO-Sphere.
We think you need these skills to ace Data Analytics Coach
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in data analytics and coaching. Emphasize any hands-on experience you have in real-world data settings, as well as your ability to teach and inspire others.
Craft a Compelling Cover Letter: In your cover letter, express your passion for teaching and coaching in the field of data analytics. Mention specific experiences that demonstrate your ability to engage and support trainees, and how you align with iO-Sphere's mission to democratize access to opportunity.
Showcase Your Technical Skills: Clearly outline your technical skills, especially your proficiency in SQL and any programming languages like Python. Provide examples of projects where you've applied these skills, particularly in a coaching or training context.
Highlight Your Collaborative Spirit: Since the role emphasizes teamwork, mention any previous experiences where you've successfully collaborated with others. This could include working on projects, leading training sessions, or contributing to team goals.
How to prepare for a job interview at IO Sphere
✨Show Your Passion for Data and Teaching
Make sure to express your enthusiasm for data analytics and your desire to teach others. Share specific examples of how you've inspired or helped others in their learning journey, as this role is all about coaching bright, ambitious trainees.
✨Demonstrate Real-World Experience
Highlight your hands-on experience in data analytics or data science. Be prepared to discuss specific projects you've worked on, the challenges you faced, and how you overcame them. This will show that you understand the demands of the field and can relate to the trainees' experiences.
✨Prepare for Technical Questions
Since you'll be helping trainees with technical questions, brush up on your SQL and Python skills. Be ready to explain complex concepts in a simple way, as effective communication is key to making analytics relatable and engaging.
✨Emphasize Collaboration and Teamwork
This role involves working closely with a coaching team, so be sure to highlight your collaborative skills. Share examples of how you've successfully worked in teams, supported colleagues, and contributed to a positive learning environment.
