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Decoded

Data Analytics Instructor

Remote jobPosted 1 months ago
Full-timeonsite

Job Description

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.

Data Analytics Instructor at Decoded | Renata