Avatar for Enki
The AI-powered skills coach for professionals and teams
  • B2B
  • Early Stage
    Startup in initial stages

Excel/ Sheets Mentor (part-time)

  • $15k – $20k • No equity
  • Remote • 
    +3
  • 1 year of exp
  • Contract
Reposted: 1 year ago
Job Location
Remote • 
Australia • 
Canada • 
Europe • 
Visa Sponsorship

Not Available

Remote Work Policy

Remote only

Hires remotely
Everywhere
RelocationAllowed
Skills
Python
Data Analysis
SQL
Data Entry
Mentorship
Mentoring
Tableau
Microsoft Excel
Data Management
Google Sheets
Looker
Microsoft Power BI
Heap Analytics
Hiring contact

Megan G

About the job

This position is perfect for those that want to supplement their income by leveraging their data skills, while developing their mentorship and customer development skills.

*This is a remote and part-time (5-20 hours / week) position. Enki's mentors are paid by the hour. *

Enki mentors are the human component of our platform; they work to ensure that our clients' employees have the support and friendly guidance they need to work through curriculum (and apply learnings to work).

https://www.enki.com/tracks/spreadsheets

You'll be:

  • Guiding and unblocking learners as they work through our courses
  • Reviewing and giving constructive feedback on their exercises, with the help of our suite of instructor tools
  • Initiating discussions on Slack with the cohort to maximize engagement
  • Doing occasional video calls with learners to discuss thorny topics
  • Helping learners apply their knowledge to their work
  • Writing content where appropriate to improve the experience for learners
  • Doing any product and development work as appropriate to iterate on the learner experience and instructor tools.

IMPORTANT: In your application, please share your thoughts and feedback on any subset of Enki’s publicly-accessible desktop content and exercises. To get access, just sign up to any of the Enki tracks via enki.com.

As an Enki mentor, you will be guiding learners through Enki's courses and exercises. Therefore, we are looking for applicants who have experience with Enki's content and can provide constructive feedback on the quality, relevance, and effectiveness of the material. We want to know what you think about the courses, exercises, and other content that Enki currently offers.

In your application, please take some time to explore Enki's website, tracks, and exercises. Once you have familiarized yourself with our content, we want you to share your thoughts on what works well and what could be improved.

*Please be specific in your feedback and include examples of what you think could be improved, how it could be improved, and why.

About the company

Enki company logo
The AI-powered skills coach for professionals and teams11-50 Employees
Company Size
11-50
Company Type
SaaS
Company Type
Big Data
Company Type
Mobile App
Company Type
Enterprise Software Company
Company Type
Training
Company Industries
Artificial Intelligence / Machine Learning
Company Industries
B2B · SaaS · Mobile · Artificial Intelligence / Machine Learning
  • B2B
  • Early Stage
    Startup in initial stages
Learn more about Enki image

Funding

AMOUNT RAISED
$1.5M
FUNDED OVER
1 round
Round
PRE
$1,500,000
Pre-Seed - Sep 2018

Founders

Kirill Makharinsky
CEO • 3 years
San Francisco
image
View the team image

Similar Jobs

Zensor company logo
Zensor
The smart watch for critical assets: preventing standstill and damage
ATLAS ANALYTICS company logo
ATLAS ANALYTICS
Your Sales Team, Reimagined. Tailored & Customized Video Outreach Campaigns
Upwell Water company logo
Upwell Water
The leading tech-enabled water resource and infrastructure company
Sryas company logo
Sryas
Sryas Inc/Ducen is a trusted technology solutions provider
Revenue AI company logo
Revenue AI
AI driven assistant and revenue management platform
Fathom company logo
Fathom
deep learning to automate medical coding
Ecomedic company logo
Ecomedic
Enabling a net zero healthcare system
OpenBlock company logo
OpenBlock
OpenBlock is a verifiable data and modeling platform powered by zero-knowledge proofs