Data Analyst

Posted 11 Days Ago
Mumbai, Maharashtra
Entry level
Internet of Things • Software
The Role
As a Data Analyst at Antarctica Global, you will assist in collecting, cleaning, and analyzing data to generate insights that drive business decisions. You will create data visualizations, reports, and dashboards, while collaborating with cross-functional teams to meet data requirements and improve data quality.
Summary Generated by Built In

Description

Antarctica Global is a Mumbai-based climate technology company with clients across the globe. We build scalable products that change people’s lives and make the world a better place. Be it to help an urban farm greatly increase its crop yield using IoT; to help a chain of schools in a third-world country bridge the communication gap between parents and teachers; to help a group of hospitals make sure that every medical sample delivered is monitored to be in temperature compliance; to empower farmers in rural communities with decarbonized transportation, we care and dare to challenge ourselves.

As a Data Analyst at Antarctica Global, you will have the opportunity to work closely with our data analysis team to gain valuable insights into the field of data analysis and its application in a startup environment.

You will play a crucial role in helping the company make data-driven decisions and uncovering key trends that drive our business forward.

Your responsibilities will include:

  • Assist in collecting, cleaning, and organizing data from various sources.
  • Perform exploratory data analysis to identify patterns and trends.
  • Generate data visualizations and dashboards to communicate findings effectively.
  • Assist in creating and maintaining data reports and dashboards.
  • Collaborate with cross-functional teams to understand data requirements and provide analytical support.
  • Assist in the evaluation of data quality and suggest improvements when necessary.
Requirements
  • Pursuing or completed a Bachelor's in a related field - Statistics, Data Science, Economics etc.
  • Strong analytical and problem-solving skills.
  • Proficiency in data analysis tools such as MS Excel, Google Sheets, Power BI
  • Basic understanding of statistical concepts and data visualization.
  • Excellent communication skills and the ability to explain complex findings to non-technical stakeholders.
  • Detail-oriented and highly organized.
  • Enthusiasm for learning and an eagerness to contribute to meaningful projects.
  • Prior internship or coursework related to data analysis is a plus.

How to apply

If you're ready to take on this challenging opportunity, here are a few tips and guidelines about your application:

  • You get only one chance to apply every year. Make sure to pay attention to every detail of your application!
  • Your application starts the moment you apply, by submitting a resume AND a cover letter.
  • We receive thousands of applications so in order for us to qualify early on the most motivated candidates, we only consider applications that have a cover letter, even as short as a couple of sentences, for as long as it mentions - at the least - a strong reason and desire to join our company.
  • Which means, avoid using ChatGPT like thousands of other candidates. Be genuine and sincere, it works and you'll definitely stand out!
  • Spend some time going through our website, get to understand what we do, have a look at our team and tell us how you feel you'll fit in within our organization.
  • Between us, we don't really care about your previous experiences but rather to see how much you care about our mission.
  • Video & Live interviews, assignments, whatever we ask you during this hiring process aims at unveiling your capabilities for the position. We'll let you know the moment we feel it won't work with us. This doesn't mean you won't succeed elsewhere, rather the opposite! It is a matter of getting all our planets aligned at the right moment.
  • Good luck ;)
Benefits
  • Fixed Stipend of INR 12,000 per month during 6 months
  • International Exposure to Clients & Partners
  • Certificate of Internship Completion and Letter of Recommendation
  • Full-time Opportunity with a competitive salary package
  • Stellar Growth & Mentorship
  • Work From Home
  • Training & Development
  • Promotion of Gender Equality & Safe Work Environment
  • Special Holidays

Headquarters

This job is a remote job.

In general, we have a normal work week policy with flexible hours from 10am to 6pm. You should be reachable during those hours to make sure the collaboration goes well with the other team members. During the course of the program, you might be requested to come to office some days of the week, as per the Lead Data Analyst requirements.

We do not work on weekends. Weekends are for chilling.

In Mumbai, our offices are located in the historical part of the city, exactly 5 minutes walking-distance from CST Station, an incredibly beautiful UNESCO World Heritage Site and 15 minutes walking-distance from Churchgate Station. Our offices have large French windows with ample light coming inside and from which you can observe parrots and kites flying in the surrounding centenary trees. We’ve used teak wood and marble for our furniture, and we display lovely artworks on our walls. Not that any of these matter for your application, but we do like the idea that you'd like to settle in Mumbai ;)

Top Skills

Data Science
Economics
Statistics
The Company
HQ: Mumbai, Maharashtra
29 Employees
On-site Workplace
Year Founded: 2019

What We Do

Antarctica Global is an international software development company enabling planet-positive tech ventures to ideate, operate and optimize the development of their proprietary software ecosystem.

We exclusively dedicate our time & energy to projects and companies that are pursuing one or more of the Sustainable Development Goals enacted by the United Nations in 2015.

We work with companies across industries: greentech, healthcare, mobility, agriculture, education, fintech.

Get in touch with us. We can help you move the needle forward.

Offices in Paris, Mumbai & Nairobi.

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