Data Analytics Instructor
Quick Summary
About Decoded We are Decoded, the pioneers of transformative technology education. We democratise cutting-edge skills. We help transform traditional businesses into tech companies. We give our learners the skills and confidence to embrace the future of work.
This role can be delivered fully remote, provided the working location has consistently reliable Wifi for workshop delivery. The Decoded office in London Liverpool Street is available to all Decoded employees for non-workshop delivery work Your…
We are Decoded, the pioneers of transformative technology education. We democratise cutting-edge skills. We help transform traditional businesses into tech companies. We give our learners the skills and confidence to embrace the future of work.
Our products and methodologies have been shaped through our collaboration with some of the largest and most technologically progressive organisations in the world. We use the intelligent, ethical and creative application of technology to lay the foundations for a more productive and promising world – one with unlimited possibilities.
We are looking for a Data Apprenticeship Instructor to work full time to deliver our best-in-class Data Analytics and Business Analytics workshops to apprenticeship learners on our Level 4 Data Analyst programme and our Level 3 Data Technician programme.
This role is dedicated to the delivery of workshops, delivered between 09:00 - 17:00 GMT. The majority of workshops will be 3.5 or 4.5 hours long (including set-up and wrap-up time) with 8 hour hackathon workshops delivered less frequently throughout the programmes. Infrequently you may be asked to work outside core UK working hours due to the global nature of Decoded's client base.
Responsibilities
~1 min readYour specific responsibilities are:
Comprehensively understand the apprenticeship curriculums and learning objectives of our programmes
Reviewing exercises and other learning materials before a workshop
Learning about your learners and the businesses they work for
Familiarising yourself with the course structure and content, proactively filling gaps in your knowledge
Maintaining a continual learning mindset and strive to advance your knowledge in your specialist domains
Timekeeping
Classroom management
Atmosphere: both professional and energetic, with good energy and engagement level with learners
Technical issues using Zoom/Teams, Mural, Menti and other key tools
Building collaborative relationships
Solving problems elegantly and creatively: “find a way or make a way”
Organisational skills - proactivity, process improvements
Excellent communication skills: adaptable, clear and consistent written, verbal, 1:1, group
A flexible, can do attitude and a willingness to learn
Striving for excellence in all areas
Exceptional attention to detail to deliver timely, quality results
A passion to learn and adapt
Programming (Python)
Data Analysis (Python, Excel)
Dashboarding (PowerBI, Tableau)
Data Manipulation
Data Visualisation
Statistics
Data Storytelling
Data Modelling
Databases (SQL)
Data Architecture
Time Series Analysis
Machine Learning
Autonomous management of learning content development deadlines
Autonomous management of workshop delivery
Confidence to successfully deliver at least 80% of our Apprenticeship workshops
An overall Learner Feedback score +8/10
An overall Teacher KPI score of 75%
You will report into the Portfolio Director, in the Product Department.
A passionate technologist with over 2 years of experience teaching data analytics, data science, computer science, software engineering or similar in a school, university or higher level
Confident coding in Python
An excellent and adaptable communicator, verbally and in writing
Self-motivated and a problem solver who takes initiative
Passionate about technology and learning
A team player who is eager to improve our programmes wherever possible and contributes to overall morale
Always keen to learn, improve and stretch your own knowledge, skills and behaviours
Nice to Have
~1 min readThis role can be delivered fully remote, provided the working location has consistently reliable Wifi for workshop delivery. The Decoded office in London Liverpool Street is available to all Decoded employees for non-workshop delivery work
Your working hours will be 09:00 - 17:00.
We run a dedicated learning calendar to hone craft skills in teaching, leadership, strategy and other relevant disciplines.
Quarterly performance reviews embedded within our culture of feedback will ensure you are recognised and rewarded for the value that you bring to Decoded.
Apart from the above, working at Decoded means you’ll get:
A competitive salary
33 days’ holiday per year, inclusive of the 8 bank holidays. We also close for two full weeks at Christmas, at Decoded's discretion
Company pension contributions
Private health care including dental, GP, hospital cover and a gym-discount to help you prioritise your wellbeing
Travel insurance
A work environment that values creativity, personal growth and collaboration
Continuous learning and development: you will be challenged with lots of responsibility and exciting projects in an environment that encourages learning
A huge array of social events including themed Christmas get-togethers and a summer away day as well as monthly drinks and activities
A digital first, hybrid working environment
Cutting edge software and kit
Salary: £40,000-£50,000 per annum
Decoded is committed to safeguarding and promoting the welfare of young people, and vulnerable adults and expects all staff to share this commitment. All roles involving interaction with learners, or access to sensitive learner data, are subject to mandatory background clearances. Successful candidates will be required to undergo a DBS check; where the role meets the criteria for regulated activity, an Enhanced DBS check (including a barred list check) will be required prior to commencement of employment.
We also require 2 professional references that come from either of the following:
- Your HR department
- Current or previous manager
- Someone senior to you in the business
Location & Eligibility
Listing Details
- First seen
- May 6, 2026
- Last seen
- May 28, 2026
Posting Health
- Days active
- 21
- Repost count
- 0
- Trust Level
- 14%
- Scored at
- May 28, 2026
Signal breakdown
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