Data Analytics Instructor
Hover or tap a row for full statistics (EUR / month on this chart).
Salary analysis
Compared with the selected benchmark ("All roles in Singapore, Singapore"), this listing's salary midpoint is about 92% lower. The offer sits below the benchmark range (€4,676–€12,732). Range-width comparison is limited because one of the salary bands is incomplete. This benchmark is based on 3 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| All roles in Singapore, Singapore | €4,676/per month | €8,102/per month | €12,732/per month |
| This job's pay range — not quoted in ad (Senior) | €675/per month | €675/per month | €675/per month |
Lead instructor for the full-time Data Analytics Bootcamp. Based in Singapore, hybrid on-campus/online delivery. Responsibilities include co-leading with instructional team, guiding students through a rigorous curriculum, adapting lessons, and fostering an inclusive classroom community. The bootcamp uses Excel, SQL, Tableau, Power BI, and Python to teach data cleaning, analysis, and communicating insights. Requirements include 4+ years of data cleaning/analysis experience, proficiency with Python/pandas, machine learning concepts, web scraping, and mentoring experience. ACLP/ACTA credentials are preferred. Work authorization in Singapore is required.
Job Details
Responsibilities
- Teach 40 hours per week; currently classes on Monday through Thursday are on campus, with Fridays remote; we observe all public holidays in Singapore
- Commit time for lesson planning and material development
- Provide students with meaningful and prompt feedback on progress with assessment rubrics
- Collaborate with GA staff and instructional team
- Guide students through capstone project development
- Foster a dynamic, collaborative, and inclusive classroom community
- Inspire students to persevere and overcome barriers to learning
- Adapt curriculum and create your own lesson plans as needed
Requirements
- 4+ years of work experience in a role where youve been responsible for cleaning messy data, analyzing the data and presenting your data-based insights
- Strong experience using Excel, SQL, Tableau, Power BI and Python programming
- Proficiency in Python's pandas library and data manipulation/cleaning
- Familiarity with machine learning concepts and practical experience with supervised/unsupervised learning
- Experience with web scraping tools (e.g., BeautifulSoup)
- Experience mentoring, coaching, or training others
- Priority given to Advanced Certificate in Learning and Performance (ACLP) / ACTA
Skills & Technologies
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