About us
Good Business Lab is an independent, non-profit labor innovation company. We use rigorous academic research to prove that worker wellbeing programs have business impacts. We develop market-ready, scalable interventions capable of providing dual benefits to workers and businesses. Our goal is to disrupt the traditional notion of business and show that worker wellbeing can be a part of core business strategy, or in other words, a good business practice.
The founders of the lab are Ach Adhvaryu - assistant professor of business economics and public policy at the University of Michigan (www.achadhvaryu.com/), Anant Ahuja – head of Organization Development at Shahi Exports Pvt. Ltd. and Anant Nyshadham – also an assistant professor of business economics and public policy at the University of Michigan (www.anantnyshadham.com/).
We have been incubated at Shahi Exports, India's biggest apparel export house, where we have conducted several studies in their sixty plus factories in the past six years and have now expanded our work to the United States and Latin America. Some of our other partners include the Harvard Business School, University of Pennsylvania, the World Bank, International Labor Organization, Arcos Dorados, Grupo Éxito, Toyota,
GBL is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sexual orientation, gender, gender identity, age, physical disability, or length of time spent unemployed.
We celebrate diversity and are committed to creating an inclusive environment for all employees. We also offer several other non-monetary workplace benefits like flexible work hours, and the ability to work remotely. We are a young and growing start-up making us the ideal ground for team members to experiment, take on dynamic roles, and grow with us. We focus on happiness, output, and quality of work.
Location: Bengaluru/Delhi, India
Length of Commitment: at least one year
Remuneration: 8.5-10 lacs p.a.
Start Date: ASAP (applications being accepted on a rolling basis) / Summer hire (July, 2022)
Who are you?
Ideally, you have:
What will you do?
The Data Associate will work closely with academic researchers, data manager, stakeholders at partner firms and other field staff to collect, organize, and help analyze various datasets. They will also lead data based quasi-experimental evaluations that we undertake with our partner firms.
Key responsibilities include (but not limited to):
What should you be comfortable with?
What will be your benefits?
There are plenty of benefits at GBL, here are some examples:
Additional benefits:
Recent projects and blog posts
To acclimatize yourself with some of our work, you can read our blog posts on Medium, and also go through our LinkedIn, Twitter, and Instagram.
The process
We are glad you’re interested in applying for this role! After each step, we decide whether to invite you to the next one. The entire process can take upto 6-8 weeks.
Our interview process for this role has the following steps:
Note: By clicking on "Submit Application" button, I confirm that I understand and accept GBL’s Privacy Policy. I also understand that GBL has zero tolerance against sexual harassment/ exploitation /abuse/misconduct ("SEA"). I confirm and declare that I have never been convicted by any court of law and/or I have never been subjected to any sanctions or inquiry or proceedings (be it disciplinary, administrative, civil or criminal) arising from an investigation in relation to sexual harassment/abuse/misconduct or left employment pending investigation and refused to cooperate in such an investigation.
Referred by (Name)
In this optional field, please input the name of a current or past GBL employee who is willing to refer you for this role. This means they think you're a good fit, vouch for your performance/academic credentials, and suggest your name. You need to get the consent of the employee before inputting their name. Please note that this is not an exclusionary criteria and this column is not mandatory. The goal is to formalize the process of our employees referring someone in their social network.
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