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Overview
Mid-Level

Data Analytics Instructor Part-Time

Confirmed live in the last 24 hours

General Assembly

General Assembly

Singapore
Hybrid
Posted January 22, 2025

Job Description

Since 2011, General Assembly has transformed tens of thousands of careers through pioneering, experiential education in today’s most in-demand skills. As featured in The Economist, Wired, and The New York Times, GA offers training in web development, data, design, business, and more, both online and at campuses around the world. Our global professional community boasts 60,000 full- and part-time alumni — and counting. In addition to fostering career growth for individuals, GA helps employers cultivate top tech talent and spur innovation by transforming their teams through strategic learning. More than 21,000 employees at elite companies worldwide have honed their digital fluency with our upskilling and reskilling initiatives. GA has also been recognized as one of Deloitte’s Technology Fast 500, and Fast Company has dubbed us leaders in World-Changing Ideas as well as the #1 Most Innovative Company in Education.


GA is at the leading edge of creating practical solutions to one of the most pressing challenges of our time - the future of work. As recognized by The World Economic Forum, BCG, the OECD and more, these are big challenges to which only a few companies are offering real solutions. In this role, you'll be speaking every day to corporate leaders who rely on GA to help them apply these solutions to their workforce of the future. 

We are currently looking for a lead instructor for our part-time (24 week) Data Analytics Bootcamp. 

 

We are looking for instructors:

Our Data Analytics Bootcamp is a life-changing educational experience where learners gain the skills and mindsets to take on new careers as data analysts. We are looking for a lead instructor with experience cleaning, analyzing, and presenting data to stakeholders and clients.

This role is based in Singapore and is delivered in a hybrid (on campus and online) format, requiring instructors to reside in Singapore and have an eligible work permit or be a Singapore citizen or permanent resident. (We are not currently sponsoring employees.)

 

Why teach our Data Analytics Bootcamp?

If you are looking to make a life-changing impact by sharing your love for data analytics with the next generation of analysts, we’d love for you to consider joining our team. We deliver more than just skills training, and are looking for teachers who share our vision for facilitating and mentoring a community of lifelong learners pursuing work that they love. As a teacher, you will join us to:

  • Work closely with the instructional team (co-lead instructors, instructional associates, instructor manager) to guide students through a rigorous, transformational journey.
  • Become a better leader, coach, and mentor as you learn from students, experienced instructors, and the larger General Assembly community.
  • Inspire and support students as they identify their passions and drive their own continued learning beyond the curriculum; motivate students when they deal with classroom and personal challenges that become barriers to learning.
  • Adapt our global curriculum and use it to guide your teaching, building your own lesson plans as needed and contributing back your lessons learned over time.
  • Facilitate a safe, supportive, and energetic community that welcomes the various  abilities, needs and learning styles of your students.

 

What do we teach?

 

Through a combination of live instruction, supported study with independent work, unit projects (individual and team-based) and 1:1 support, we teach our learners how to turn messy real-world datasets into actionable, data-driven insights they can communicate. We will be using Excel, SQL, Tableau, and PowerBI as the primary tools for analysis as well as provide learners with a foundation in Python programming to build predictive machine learning models.

The Data Analytics Bootcamp consists of nine units:

  •  Unit 1: Responsible data analytics
  • Unit 2: Statistics and mathematics for data analysts
  • Unit 3: Data analysis and interpretation with Excel and Power BI
  • U
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