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Associate Teacher APAC - Data Analytics (Remote)

Temporary

Decoded Limited

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 an Associate Teacher to deliver our best-in-class Data Analytics workshops to learners on our Level 4 Data Analyst programme. This is a remote role and your working hours will vary from week to week depending on the workshop schedule.
The majority of workshops will be 4.5 hours long (including set-up and wrap-up time), with two 8-hour Hackathons within the programme.
The workshops will be delivered between 08:30 - 17:30 HKT. We welcome candidates from any location suitable for these working hours.

SPECIFIC ROLES & RESPONSIBILITIES

Specifically, you will work on:

  • Teaching our learning content to groups of APAC-based adult 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 (LSC) to ensure learners progress through the programme (each Learner will have the support of an LSC to offer them practical and pastoral guidance)

As a Teacher, you will be responsible for:

Workshop Preparation

  • Reviewing exercises and other learning materials before a session

  • Learning about your learners and the businesses they work for

  • Familiarising yourself with the course structure and content, proactively filling gaps in your knowledge

  • Self-assessing your skills and taking up suitable training and professional development opportunities

Workshop delivery

  • Delivering a 10/10 learning experience in each workshop

  • Communicating complex data science concepts and techniques with energy, focus and patience

  • Engaging and captivating the attention of a virtual room of busy working 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

OUR TEAM

You’ll be working alongside industry-experienced data scientists, mathematicians, and educators. You’ll also join a rich network of industry specialists who work with us delivering workshops to learners across the globe.

WHO ARE YOU?

  • A passionate teacher with experience teaching, coaching, or tutoring in a related subject (Maths, Physics, Data Science)

  • Confident in Python

  • Based in Asia Pacific and able to deliver workshops between 08:30 - 17:30 HKT

  • A second Asia Pacific language such as Mandarin or Cantonese is beneficial but not required

  • You are a strong communicator with the ability to inspire and motivate others

  • You are confident, empathetic, and passionate about working with others

  • You are highly organised and motivated

  • Experience with the tools and subject matter of our Level 4 Data Analyst Programme:

Topics covered within the Data Analysis Programme are:

  • Programming for Data Analysis (Python)

  • Data Manipulation

  • Statistics

  • Data Storytelling

  • Data Modelling

  • SQL

  • Data Architecture

  • Time Series

  • Machine Learning

Your performance will be measured by and driven by a mindset built on:

  • Enabling learners to apply data analysis techniques to their professional environment

  • Identifying work activities that will allow learners to demonstrate the competencies required in the apprenticeship standard

  • Delivering regular high-quality learning engagements with learners

  • Supporting learners with the transferable skills required to be an excellent data analyst

  • Coaching through data analysis techniques using Python

  • 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”

REPORTING STRUCTURE AND PAYMENT

This role will report to the Product Resource Manager, also working closely with the LSC and receiving support from Decoded’s full-time UK Product Team. You will be set an hourly rate based on your experience and will invoice Decoded Monthly for payment.

INTERVIEW PROCESS

  • We really enjoy videos, and portfolios of work that show us your skills throughout your application

  • After a successful first call, you will be asked to record a ‘micro teach’: a 10-minute video of you taking the viewer through an exercise related to Data Analysis.

  • A final interview will then take place with one of our current Teaching Team

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

AI in Recruitment: We welcome the responsible use of AI to support your application and preparation. However, your application, assessments and interviews should reflect your own skills, experience and judgement. If AI has significantly contributed to your application or assessment, please briefly tell us how you used it. We value transparency and thoughtful use of AI at Decoded.

Vacancy posted 25 days ago
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