Data Analyst

About Us

The Story of Village Book Builders starts with the simple love of books. Books encourage us to think critically, build empathy, imagine moonshots and help us build brighter futures together. Unfortunately, not all children have access to quality educational resources and the dearth of books is just the beginning of a vicious cycle.

This is why we created Village Book Builders: A non-profit aiming to help communities re-establish learning cultures through access to safe local libraries, books, technology, and 1:1 student mentorship. Today we call this Hope Through Books.

First runner-up in Stanford Longevity Design Challenge (2020), the Engineering division of Village Book Builders is looking for self-starter interns & volunteers passionate about making a difference by leveraging their core competencies.

About this Position

Operating a digital-first organization at a global level generates a multitude of data trails. However, the majority of this data is siloed in various in-house or 3rd party SaaS applications. Our goal is to collate and cross reference data from these disparate sources in order to build a 360° view of the organization’s impact and operational health. You will help change the way nonprofits monitor and report their impact by moving away from active data sources (such as surveys & assessments) which requires huge investments of volunteer and beneficiary time, efforts.

Qualifications

• Commitment to the role for at least 6 months, with a preference for longer.
• Background in Data Science, Computer Science, or a related quantitative field
• Experience with BI tools (Tableau, Metabase, Looker Studio, etc.).
• Proficiency in JavaScript, PostgreSQL, or Digital Ocean.
• Skilled in statistical analysis (will include a case study test).
• A good grasp of data science principles and various machine learning techniques.

We need individuals with a robust skill set in JavaScript, PostgreSQL, or Digital Ocean. Tell us where you shine!

Preferences:

• Data Analytics Experience - either a Coursework or a Certification.
• Experience with Statistical Analysis, PostgreSQL or Tableau.
• A good grasp of data science principles.

Note: Please note that we do not provide OPT support (by giving offer letters for OPT employer documentation).

To move forward in our hiring process, it's essential that you fill out our internal form available at: https://wkf.ms/3SZO5nB

Completing this form is a critical step, allowing us to thoroughly evaluate your background and skills. Only those who submit this form will be considered for the position as it helps us identify the most suitable candidates for our team.

Please note that the selection process for this position typically spans 1-2 months due to the high volume of candidates. We aim to begin interviews 2-3 weeks after receiving applications. Please be patient with the process.