Data Analytics Instructor

Remote, USA
Posted Jun 12, 2026
Full-time

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.

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.

Overview 
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.

Accountabilities 
As a Data Apprenticeship Instructor at Decoded, you will be responsible for: 
Teaching our learning content to groups of apprenticeship learners via virtual workshops

Honing your skills as an educator and building your knowledge of andragogy and teaching theory

Working with the Learner Success Coaches (LSCs) to ensure learners progress through the programme. Each Learner will have the support of an LSC to support them with practical and pastoral guidance.

Contributing to product improvement and content development

Specific roles & responsibilities 
Your specific responsibilities are: 
Workshop preparation and knowledge of content:
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

Facilitation skills
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

Quality of teaching 
Decode and communicate complex concepts and principles with energy, focus and patience

Engaging and captivating the attention of a virtual room of busy professionals

Facilitating the learning journey for your audience, and leaving no-one behind whilst also providing stimulation for advanced learners

Enabling an inclusive, collaborative, and respectful learning environment

SME Contribution 
Contributor to training programme development projects by providing SME input and peer review of content 

Producing materials to support learners with stretch needs, and instructions for technical content to support learning

Skills & behaviours 
We are looking for candidates with a mindset built on:
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

Topics covered within our programmes that require technical skills are:
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

What does success look like?
Your performance will be measured and driven by: 
Enabling learners to apply newly learned techniques to their professional environment 

Delivering regular high-quality learning engagements with learners

Coaching through the application of techniques that are new to learners 

Striving for excellence in everything you do: you don’t accept mediocrity in yourself or the team around you 

Solving problems elegantly and creatively: “find a way or make a way” 

A successful candidate will be expected to achieve the following within 3 months:
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%

Team reporting & structure 
You will report into the Portfolio Director, in the Product Department.

Who are you?
You are:
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

Bonus: 
Familiar or experienced with Data Science concepts and tools

Day to day 
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 working hours will be 09:00 - 17:00. 

Learning and progression 
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.

Day to Day
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

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