Data Analysis Mentors – Tutors

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Data Analysis Mentors/TutorsWe created CareerFoundry to help others build their careers while maintaining personal freedom and flexibility. Our 100% online, flexible and Mentor/Tutor driven courses are setting the standard for globally accessible technical education.

We are looking for experienced and passionate Data Analysts all over the world to join our pool of experts and help define the next generation by educating and empowering students across the globe. Our global team consists of over 230 Mentors and Tutors in the Web Development, UX design, and UI design, and now Data Analysis sectors. Our Mentor and Tutor body includes freelancers, entrepreneurs, consultants, and agency directors who passionately guide, motivate, and empower our students to create new careers in the tech industry. We are constantly searching for more teaching enthusiasts like you to join us.

YOUR MISSION:

Mentoring and Tutoring with CareerFoundry is more than teaching. It is inspiring newcomers to the field to build, to problem solve, to think like a Data Analyst and to increase their value as professionals. With their expertise from the field, our Mentors and Tutors provide guidance and encouragement to their students each step of the way.

Based on your application and experience, we will make a decision on whether the Tutor or Mentor role is the perfect fit for you.

Tutor role:

With their expertise from the field, Tutors work with Mentors to provide guidance and encouragement to their students each step of the way. To do this, Tutors provide feedback and constructive criticism on submissions, help students understand the lessons, and ask and answer questions about the materials to deepen their understanding of the core concepts. Youll be:

  • Regularly reviewing student projects submitted through the CareerFoundry platform
  • Portfolio reviews and checking for fundamental understanding of concepts
  • Working alongside a Mentor (who has 8+ years of experience)
  • Suggesting supplemental learning materials and personal insights in areas where students are struggling
  • Responding to students within 12 -24 hours

Mentor role:

Most students will be beginners and are looking not only for help and experience to master the necessary skills, but also inspiration and motivation to keep them focused along the way. Mentors review students work on a regular basis with a view to how it would fit into an industry-ready portfolio. Additionally, they book one-on-one video calls to help prepare students for their entry into this new industry. Theyre going to want to know how you got your start, how you network, how you decide which companies and roles to go for, and much more! Your role would involve:

  • Reviewing student projects submitted through the CareerFoundry platform
  • Portfolio reviews and checking for fundamental understanding of concepts
  • Working alongside a Tutor
  • Suggesting supplemental learning materials and personal insights in areas where students are struggling
  • Responding to students within 48 hours

REQUIREMENTS:

To succeed as a Mentor or Tutor, you need to have a real drive to pass on your secrets for success to the next generation of design talent.

Tutor role

  • 2+ years of professional Data Analysis experience
  • A great portfolio to support your experience
  • In depth knowledge of industry best practices
  • A friendly personality and a strong desire to help others

Mentor role

  • You have 5+ years experience in Data Analysis with a demonstrable track record showcasing your work for a variety of clients and companies.
  • A first class portfolio with rock solid, relevant references to back it up.
  • Ideally, you will already have gained experience in teaching or you have the right attitude and skills for it: you have time and patience for beginners and a strong desire to guide people along their career path in this field, with knowledge of the latest design tools, a broad network of experts in the field and an in-depth understanding of industry practices.

For both roles a knowledge of the following is required:

Data Processing and Querying

  • SQL
  • Excel
  • Python (and pandas library)
  • Relational databases

Data Visualization and Reporting

  • End-to-end analysis
  • Tableau
  • Presenting data
  • Data visualizations and data dashboards
  • Power Bi (data viz tool)
  • Storytelling

Statistical Analysis

Business

  • Understanding and formulating business metrics/KPIs
  • Understanding how data relates to product requirements
  • Designing and scoping research projects and experiments
  • Ethics in data analysis

WHAT’S IN IT FOR YOU:

  • Flexible and mobile work from anywhere with an internet connection
  • Educational deepen your own knowledge by teaching it to others, plus work alongside a Mentor or Tutor who will also assist with your own professional development
  • Fulfilling directly impact students personal growth, and help them succeed in their goals
  • Rsum gold mentoring and teaching experience is highly sought after by employers everywhere

Apply Here!

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