At a Glance
- Tasks: Teach data analytics workshops and empower learners to embrace tech skills.
- Company: Join Decoded, a leader in transformative technology education.
- Benefits: Enjoy competitive salary, 33 days holiday, and private healthcare.
- Other info: Fully remote role with a vibrant culture and continuous learning opportunities.
- Why this job: Make a real impact by shaping the future of tech education.
- Qualifications: 2+ years teaching experience in data analytics and coding in Python.
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
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.
- 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.
Job requirements
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
Data Analytics Instructor in London employer: Decoded Limited
Contact Detail:
Decoded Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analytics Instructor in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend relevant events, and engage with professionals on platforms like LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to data analytics. Use mock interviews with friends or mentors to build confidence and refine your responses. Remember, it’s all about showcasing your passion and expertise!
✨Tip Number 3
Show off your skills! Create a portfolio that highlights your projects, especially those involving Python, data visualisation, and analytics. This tangible evidence of your abilities can set you apart from other candidates.
✨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 and engaged with our mission at Decoded.
We think you need these skills to ace Data Analytics Instructor in London
Some tips for your application 🫡
Know Your Stuff: Before you start writing, make sure you understand the role and what it entails. Dive into the job description and highlight the key skills and responsibilities. This will help us see how your experience aligns with what we're looking for.
Be Yourself: We want to get to know the real you! Use a conversational tone in your application. Share your passion for data analytics and teaching, and let your personality shine through. Authenticity goes a long way!
Tailor Your Application: Don’t just send a generic application. Tailor your CV and cover letter to reflect the specific skills and experiences that match the Data Analytics Instructor role. Show us why you're the perfect fit for Decoded!
Apply Through Our Website: Make sure to apply through our website for the best chance of being noticed. It’s super easy and ensures your application gets to the right people. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Decoded Limited
✨Know Your Content Inside Out
Before the interview, make sure you thoroughly understand the apprenticeship curriculums and learning objectives. Familiarise yourself with the specific topics you'll be teaching, like Python programming and data visualisation. This will not only boost your confidence but also show the interviewers that you're genuinely passionate about the subject.
✨Showcase Your Teaching Style
Prepare to discuss your teaching methods and how you engage learners in a virtual environment. Think of examples where you've successfully facilitated workshops or tackled technical issues using tools like Zoom or Teams. This will demonstrate your adaptability and ability to create an inclusive learning atmosphere.
✨Highlight Your Problem-Solving Skills
Be ready to share specific instances where you've solved problems creatively in your previous roles. Whether it was adapting content for different learner needs or managing time effectively during workshops, showcasing your problem-solving mindset will resonate well with Decoded's values.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that reflect your interest in the role and the company. Inquire about their approach to continuous learning and development or how they measure success in their instructors. This shows that you're not just looking for any job, but are genuinely interested in contributing to their mission.