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General Assembly is seeking a lead instructor for our full-time Data Analytics Bootcamp based in Singapore. In this role, you will teach data skills and mentor the next generation of analysts.
Ideal candidates will have 4+ years of experience in data analysis, proficiency in various tools like Excel, SQL, and Python, and a passion for teaching.
This position offers a hybrid teaching model, requiring residency in Singapore.
Since 2011, General Assembly has transformed tens of thousands of careers through experiential education in today’s in-demand skills. GA offers training in web development, data, design, business, and more, online and at campuses around the world. Our global professional community boasts 60,000 alumni. GA helps employers cultivate top tech talent and spur innovation through upskilling and reskilling initiatives.
GA is at the leading edge of creating practical solutions to the future of work. In this role, you'll speak with 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 full-time (12 week) Data Analytics Bootcamp.
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.)
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:
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:
Learning is assessed through four major projects (two independent projects, a team/group data sprint, and final course capstone) as well as nine labs. About 20% of the overall class time is dedicated to supporting learners’ project work.
Unless otherwise noted, remote positions can be performed from the following approved General Assembly operating countries: United States of America (states of operation may vary), Canada (provinces of operation may vary), United Kingdom, Australia, and Singapore.