Data Analytics Instructor

General Assembly

(New York, New York)
Part Time Temp / Seasonal
Job Posting Details
About General Assembly

General Assembly is a venture-backed, NYC-based startup focusing on education for individuals and enterprises in the areas of technology, design, and entrepreneurship. We currently have physical classrooms in 15 cities across 4 continents, with tens of thousands of students coming through our doors.

Summary

In this 10-week part-time course, students learn and practice turning messy real-world datasets into actionable, data-driven insights they can communicate. We will be using Excel, SQL and Tableau as the primary tools for analysis. We are looking for an instructor to lead this part-time Data Analytics course. Though we provide a core curriculum along with instructor resources, you will have the opportunity to implement your ideas by adapting our materials as one of the course’s first instructors.

Responsibilities
  • Teach two, 2-hour part-time classes per week, for 10 weeks.
  • Be available for student questions outside of the class.
  • Attend a mandatory full-day instructional professional development workshop.
  • Work alongside GA staff and teaching team to best meet the needs and learning styles of your students.
  • Guide students through development of a stellar final project that translates large sets of data into business decision
  • Facilitate a dynamic and collaborative classroom community.
  • Assist students outside of class as necessary.
Ideal Candidate
  • You have strong experience using the following tools: Excel, SQL and Tableau.
  • You are eager to shape the skills, minds, and trajectories of eager General Assembly students.
  • You are the person that your colleagues naturally gravitate to when they are trying to figure something out.
  • You have at least 5 years of work experience in a role where you’ve been responsible for cleaning messy data, analyzing the data and presenting your data based insights.

Questions

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New York, New York
Skills Desired
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  • Analyzing Data
  • Data Analytics
  • Microsoft Excel
  • Presenting
  • Professional Development
  • SQL
  • Tableau
  • Teaching
  • Learning Styles

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