Data Analytics Instructor (US, Full-time, Fully Remote)

Remote - New York City, United States

Applications have closed

Multiverse

We're building an outstanding alternative to university and corporate training via professional apprenticeships

View company page

We are Multiverse, a tech scaleup with a social mission. We’re creating a diverse group of future leaders by building an outstanding alternative to college and corporate training.In June 2022, we announced our $220m Series D raise, making Multiverse a mission-driven unicorn. This funding will help us to accelerate our growth in the US, where we’re committed to tackling the toughest challenges facing those who seek jobs - and those who provide them.

In our first year in the US, we launched over 20 apprentice cohorts at some of the best companies in America, including the likes of American Express, Citizens Bank and Visa. Globally, we work with over 500 clients and we’ve been recognized as one of the fastest-growing businesses in Europe.Join us on our journey to democratizing access to the best careers and learning opportunities.

Requirements

As a Data coach, you will be responsible for delivering our Data Fellowship curriculum, working with highly engaged individuals as they start their career in data.

Your role will be a mixture of small group workshops and bootcamps plus one-on-one sessions, and supporting apprentices across incredibly exciting businesses to become the next generation of data leaders. If you have drive, ambition and are excited by being part of growing our US business, then come join us!


What does the program I would be teaching look like?

You will be delivering a Data Analytics program. The topics you will teach will progress through the program, starting with the data analytics fundamentals such as Excel, SQL and visualizations with Tableau, to teaching more advanced data topics such as Big Data, Natural Language Processing, Python and R.

Requirements of the Data Analytics Instructor role:

  • You have strong knowledge of data, including building databases and running complex analyses
  • You are passionate about teaching and love the detail of developing an effective learning experience
  • You believe in the principles of applied learning: it’s all about developing the knowledge, skills, and behaviors in a way that can be used in a real context, immediately.
  • You believe passionately in economic and social mobility and the development of talent no matter what their background.
  • You have the ability to teach remotely. You will be provided with all necessary technology (laptop, second screen, headset, etc).
  • You are flexible and resilient; our program content and structure may change to better suit the needs of apprentices, so you must be adaptable and open to iteration.

General Responsibilities of the Coach:

  • Build a vibrant community of learners from a range of different backgrounds and ensure a motivating and supportive virtual study environment
  • Take full responsibility for the progress that your cohorts of young people make through their apprenticeship
  • Work with their managers to understand the needs of their role and how to best support their professional development
  • Work internally with Multiverse colleagues to ensure the quality of the program and our delivery is first class by helping to iterate and further build the program
  • Monitor the progress of learners through data collection and sharing insights with the Program team and partners to facilitate the next steps in the learning journey

Who you are:

  • You have a passion for all things data analytics and data science
  • You might be a teacher who completed a data bootcamp or certificate
  • You might be finishing up your masters or PhD and have loved being a lab or teaching assistant
  • You might be a Data Scientist/Analyst who has a passion for development or wants to share your knowledge with the next generation!
  • You believe passionately in social mobility and equity

Benefits

  • 23 days PTO, plus 1 life event and 1 volunteer day
  • 4 additional company-wide days off to focus on your wellbeing
  • Comprehensive insurance plans and 401(k) starting on your first day
  • Hybrid or fully remote working, depending on the role. Talk to us to find out more!
  • Ownership in the business through equity options
  • Be at the heart of a rapidly accelerating business that the leading Silicon Valley VCs are investing in, and be part of the foundational team on the ground in the US

As well, we deeply believe that talent exists beyond traditional education. We encourage applicants with or without 4-year degrees to apply to this role and any others that meet their skills and interests.


We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.


COVID-19 Vaccination Requirement: Multiverse requires all employees to be fully vaccinated against COVID-19. We will consider requests for reasonable accommodation based on disability and/or religious beliefs on an individualized basis.


Please note that while this role is fully remote within the US, we have restrictions in the following states: Hawaii, Alaska, Colorado, New Mexico, Wyoming, Montana, North Dakota, Nebraska, Minnesota, Iowa, Arkansas, or Kentucky. If you live in these states, please indicate so on the application form. Proceeding with your application suggests to us that you are open to relocation for this particular role.

Tags: Big Data Data Analytics Excel NLP PhD Python R SQL Tableau

Perks/benefits: Career development Equity Flex hours Flex vacation Insurance Relocation support Startup environment

Regions: Remote/Anywhere North America
Country: United States
Job stats:  19  4  0
Category: Analyst Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.