At a Glance
- Tasks: Deliver engaging Data Analytics workshops to apprenticeship learners and support their learning journey.
- Company: Join Decoded, a leader in transformative tech education with a collaborative culture.
- Benefits: Enjoy a competitive salary, 33 days holiday, private healthcare, and continuous learning opportunities.
- Other info: Fully remote role with a focus on personal growth and exciting projects.
- Why this job: Empower the next generation of data professionals while honing your teaching skills in a dynamic environment.
- Qualifications: Experience in teaching data analytics and proficiency in Python required.
The predicted salary is between 40000 - 50000 £ per year.
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
- 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
- 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
- Engage and capture the attention of a virtual room of busy professionals
- Facilitate the learning journey for your audience, leaving no one behind whilst also providing stimulation for advanced learners
- Enable an inclusive, collaborative and respectful learning environment
SME Contribution
- Contributor to training programme development projects by providing SME input and peer review of content
- Produce 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
- Solve 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
- Strive 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
- 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
- Strive for excellence in everything you do: you don’t accept mediocrity in yourself or the team around you
- Solve 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.
Benefits
- 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
Background check requirements
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.
References
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
Data Analytics Instructor employer: Decoded
Contact Detail:
Decoded Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analytics Instructor
✨Tip Number 1
Get your networking game on! Connect with professionals in the data analytics field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be when it comes to landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects and achievements in data analytics. This is your chance to demonstrate what you can do, so make it pop and let your work speak for itself!
✨Tip Number 3
Practice makes perfect! Prepare for interviews by doing mock sessions with friends or mentors. We all know that confidence is key, so the more you practice, the better you'll perform when it counts.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Analytics Instructor
Some tips for your application 🫡
Know Your Stuff: Before you start writing, make sure you fully understand the job description and what Decoded is all about. Highlight your relevant experience in data analytics and teaching, and show us how you can contribute to our mission of transforming tech education.
Be Yourself: We want to see your personality shine through! Use a conversational tone in your application, and don’t be afraid to share your passion for technology and learning. Let us know what makes you tick and why you’re excited about this role.
Tailor Your Application: Don’t just send a generic CV and cover letter. Tailor your application to reflect the specific skills and experiences that match the Data Analytics Instructor role. Mention any relevant tools or methodologies you’ve used, like Python or PowerBI, to show us you’re the right fit.
Apply Through Our Website: Make sure to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Decoded
✨Know Your Stuff
Make sure you thoroughly understand the apprenticeship curriculums and learning objectives. Brush up on key topics like Python, data analysis, and data visualisation. Being able to discuss these confidently will show that you're not just a teacher, but a knowledgeable mentor.
✨Engage and Energise
During the interview, demonstrate your ability to engage an audience. Use examples from your past experiences where you successfully facilitated workshops or classes. Show them how you can create an inclusive and energetic atmosphere, even in a virtual setting.
✨Show Your Problem-Solving Skills
Be prepared to discuss how you've tackled challenges in your teaching or technical work. Companies like Decoded value creative problem-solving, so share specific instances where you found innovative solutions to complex issues.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions. Inquire about their teaching methodologies, learner engagement strategies, or how they measure success. This shows your genuine interest in the role and helps you assess if it's the right fit for you.