iO Sphere

About the Company

iO-Sphere was created to help exceptional Individuals and exceptional Organisations build high growth, high performance futures through experience-led data training.

Our unique approach to training goes beyond giving people the most in-demand technical skills, to recreate the experience of working in high performance teams. We train people to be effective and impactful in their role and wider team. Organisations partner with us to build a workforce empowered with data skills and individuals use us to go further, faster in their careers.

Listed Jobs

Company Name

iO Sphere

Job Title

AI & Business Analyst Training Coach

Job Description

**Job Title** AI & Business Analyst Training Coach **Role Summary** Design, deliver, and assess a 15‑month Level 4 Business Analyst apprenticeship that integrates AI and data analytics. Facilitate hands‑on learning within a synthetic e‑commerce environment, mentor apprentices through complex projects, and prepare them for the End‑Point Assessment. **Expectations** - Execute the entire apprenticeship independently within the first 90 days. - Run Prism‑based projects, establish coaching routines, and drive learner progress. - Ensure high completion and success rates through continuous feedback and support. **Key Responsibilities** - Align curriculum and assessments with the mandatory Level 4 Apprenticeship Standard for Business Analysis. - Design, prepare, and deliver 25‑30 hours of student‑facing instruction weekly, including lessons, workshops, and coaching sessions. - Guide apprentices through large‑scale, industry‑relevant projects in Prism, ensuring practical application of analytics and AI concepts. - Conduct regular progress meetings with learners and managers, maintain evidence records, and provide targeted feedback. - Prepare apprentices for their final End‑Point Assessment (EPA). - Foster a learning culture that emphasizes curiosity, problem‑solving, critical thinking, and storytelling. **Required Skills** - Functional experience as a Business Analyst, Product Analyst, or similar role. - Expertise in requirements gathering, process mapping, stakeholder management, and problem‑solving. - Working knowledge of AI concepts, automation, and modern digital tools. - Ability to translate technical information into clear, non‑technical language. - Strong communication, presentation, and storytelling skills. - Coaching, mentoring, or adult‑learning experience preferred but not mandatory. - Familiarity with apprenticeship delivery and assessment best practices. **Required Education & Certifications** - Minimum completion of Level 4 Business Analyst apprenticeship or equivalent. - Teaching or assessment qualifications (e.g., AET, CAVA) are advantageous but not essential.

London, United kingdom

Hybrid

02-12-2025

Company Name

iO Sphere

Job Title

Data Engineering Coach

Job Description

**Job title** Data Engineering Coach **Role Summary** Provide personalised, hands‑on mentorship to working professionals and career switchers enrolled in iO‑Sphere’s Data Engineering programme, helping them acquire production‑ready data pipeline skills and an engineering mindset. **Expectations** - Deliver engaging practical coaching sessions on data engineering concepts. - Guide learners through real‑world project work in PRISM. - Provide constructive, actionable feedback on code, architecture, and system design. - Foster engineering habits (version control, documentation, problem solving). - Conduct regular 1:1 coaching to build confidence and monitor progress. - Maintain accurate learner records, meeting regulatory requirements. - Collaborate with coaching and quality teams to refine curriculum. - Support multiple programme types (skills‑levy, diplomas, commercial training). **Key Responsibilities** - Design and conduct live coaching lessons and workshops. - Mentor learners through PRISM‑based pipeline and orchestration projects. - Evaluate learner submissions, suggest improvements, and record outcomes. - Identify learning gaps early and recommend remediation. - Document best‑practice guidelines and contribute to curriculum iteration. - Participate in programme reviews and quality assurance activities. **Required Skills** - Strong hands‑on experience building production data pipelines. - Proficiency in Python (data workflows, automation). - Advanced SQL (query optimisation, analytical functions, modelling). - ETL/ELT pipeline design, orchestration, and debugging. - Docker & containerisation concepts. - Cloud platform experience (Azure, AWS, or GCP). - Ability to communicate complex technical concepts clearly. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Data Engineering, or related field (preferred). - Industry certifications such as AWS Certified Solutions Architect, GCP Data Engineer, or equivalent are advantageous.

United kingdom

Remote

10-12-2025