Data Analytics Instructor
Engage with students in a respected after-school program. Teach data analytics, Python basics, visualization, and guide student projects. Ideal for hands-on instructors with 1-3 years’ analytics or teaching experience.
Are you ready to take on a part-time teaching position where you’ll be guiding the next generation of data analytics professionals? The Data Analytics Instructor role with Urban School offers a contract-based opportunity, primarily designed for candidates with 1–3 years of analytics or teaching experience. While salary details are not publicly listed, the after-school nature and structured contract suggest competitive compensation for dedicated educators.
Responsibilities and Daily Work
The core of this job is delivering classroom sessions covering foundational data analytics concepts. You’ll walk students through the entire analytics workflow, including data exploration, cleaning, analysis, visualization, and extracting insights.
Expect to teach both spreadsheet tools and Python, providing a blend of hands-on learning in Excel, Google Sheets, and Google Colab. This interaction supports project-based learning and student collaboration.
An added highlight is the introduction of AI-assisted analytics, which helps expose students to the future of data science. Guiding learners on structured projects from selection to completion is a key duty.
You’ll also manage classroom dynamics, evaluate progress, and give feedback while working within a supportive team environment.
What’s Good About This Role?
This position is ideal for those passionate about teaching and real-world application. You get a front-seat role in shaping practical, future-focused skills among high school students.
Engagement is session-based and part-time, giving you flexibility to pursue other professional interests or obligations. You’ll also grow as a communicator and team player.
Potential Drawbacks
The contract nature of this position does not guarantee full-time stability. For those seeking predictable long-term roles, this could be a limitation.
Additionally, as an instructor, you must be able to simplify technical concepts for beginners, which may not suit everyone’s teaching style.
Our Take: Should You Apply?
If you are motivated by enabling student success and possess basic analytics or teaching experience, this is a rewarding and meaningful job. It’s an excellent fit for early-career professionals eager to build instructional credentials.
The role stands out for its practical approach, focus on teamwork, and exposure to modern analytics tools. Apply if you are ready to inspire future data analysts!
Data Analytics Instructor
Engage with students in a respected after-school program. Teach data analytics, Python basics, visualization, and guide student projects. Ideal for hands-on instructors with 1-3 years’ analytics or teaching experience.
