Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Analytics Coach

iO Sphere
Nottingham
1 day ago
Create job alert

iO Sphere | London preferred, UK-wide considered | Hybrid | Full-time or part-time


You've built dashboards that people actually use, written SQL that answered real business questions, and turned messy data into clear stories that drove decisions. You know the difference between analysis that sits in a folder and analysis that changes how a team operates.


Now you want to do something different with your skills — coaching working professionals to become confident, credible analysts.


You bring the analytics expertise. If you haven't coached before, we'll train you. Full-time or part-time, London or elsewhere in the UK — we want to hear from you.


About iO-Sphere


Traditional training is broken. People finish courses with theory but no real capability — the experience gap. We solve that.


At iO-Sphere, learners don't sit through lectures. They come to work in PRISM, our fully simulated company with 500m+ rows of real data, where they tackle realistic business problems and build practical skills they can use immediately. Combined with high-touch coaching from people who've actually done the work, we deliver real capability development — not just content consumption.


We also know that technical skills alone don't make someone great at their job. That's why our programmes develop the full skill set: analytical thinking, problem-solving, business acumen, communication, and professional skills. We're training people to be effective in the workplace, not just pass a test.


We're one of the UK's fastest-growing Data & AI training companies, and we're building something genuinely different.


The Team & Culture


Our coaching team is exceptional — former data scientists, analytics directors, engineers, and AI practitioners who decided to do something different with their expertise. You'd be joining a high-performing, tight-knit group that takes ownership, holds itself to a high bar, and has a lot of fun doing it.


We value people who take responsibility, move fast, and care deeply about learner outcomes. If you thrive with autonomy and want your ideas to actually get implemented, you'll fit right in.

The Impact


We're rated 4.9 stars on Google — and that's because of our coaches. You'll watch people transform from uncertain to confident, from struggling with Excel to presenting insights to their leadership team. The feels never get old. That's what makes it all worth it.


We're also at an inflection point. 700+ learners trained, real momentum, and 2026 is when we scale — new programmes, new products, bigger team. If you want to join something early and grow with it, this is the time.


What You'll Do


Coach working professionals through our Data Analytics programme. These are ambitious people who want to become the go-to analyst in their organisation — turning data into insights that drive smarter decisions. The programme covers Excel, SQL, Python, and Power BI, but it's not just about the tools. You'll also coach on analytical problem-solving, critical thinking, communicating insights, and building business acumen — the skills that separate good analysts from great ones.


Day-to-day, this means:

  • Delivering engaging, practical coaching sessions on analytics tools and thinking
  • Guiding learners through PRISM-based projects using real, messy data
  • Providing clear, constructive feedback on dashboards, SQL, analysis, and how they communicate their findings
  • Coaching on the soft stuff too — critical thinking, stakeholder communication, professional presence
  • Running 1:1 coaching conversations that build confidence and momentum
  • Tracking learner progress and intervening early when someone's struggling
  • Maintaining accurate records and evidence (we're regulated, so organisation matters)
  • Collaborating with the wider coaching and quality teams


Shape the programme as you deliver it. These programmes are new and evolving. You'll have real input into quality and execution — if you see a better way to teach something, we want to hear it and we'll actually implement it.


Work across different programme types. Beyond skills-levy programmes, you'll also coach on our applied diplomas and commercial training — different learner types, fresh challenges, and variety you won't get elsewhere.


Get involved as we grow. We're launching new products throughout 2026, and there's real opportunity to contribute beyond your core coaching role.


Why This Isn't Like Other Coaching Jobs


  • Tech-first = less admin, more coaching. Our systems handle the paperwork so you spend time with learners, not drowning in compliance busywork.
  • High-quality product. You're delivering something well-designed that actually works — not apologising for broken curriculum.
  • Room to build. Programmes are fresh. You're not just following a script; you're helping make it better.


You'll Succeed Here If You Have


Must have:

  • Hands-on analytics experience: SQL, Excel, data visualisation (Power BI preferred) — applied to real business problems
  • Track record of turning data into insights that drove decisions
  • Strong analytical thinking and problem-solving skills (you'll be developing these in others)
  • Ability to explain analytics concepts to non-technical people without dumbing them down
  • You genuinely enjoy working with people and get energy from helping others succeed


Right mindset:

  • Takes ownership and follows through
  • Eye for improvement — you notice what could be better
  • Organised and reliable (we're regulated training, so this matters)
  • Comfortable in a fast-moving environment


No teaching qualifications required. If you haven't coached before, we'll train you and support you in gaining formal qualifications as part of your development.

Details


Salary: £40,000–£60,000 + bonus, depending on experience


Location: London preferred (hybrid, with time in our London office). Open to candidates across the UK for the right person.


Hours: Full-time or part-time — we're genuinely flexible and welcome both.


Eligibility: Unrestricted right to work in the UK required. We cannot offer visa sponsorship.


At iO-Sphere, we value diversity and believe the best outcomes come from varied backgrounds.

If you share our passion, we encourage you to apply.

Related Jobs

View all jobs

Director, Data Analytics

Lead Data Engineer SQL Python

Lead Data Engineer Sql Python

Head of Business Intelligence

Head Of Business Intelligence

Data Quality Analyst

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.