Data Analyst

1 Year ago • All levels
Data Analysis

Job Description

As a Data Analyst at Antarctica Global, you will work with the data analysis team to gain insights into data analysis in a startup. You will help the company make data-driven decisions and uncover trends. Your responsibilities will include collecting, cleaning, and organizing data; performing exploratory data analysis to identify patterns; generating data visualizations and dashboards; assisting in creating and maintaining data reports and dashboards; collaborating with teams to understand data requirements; and assisting in data quality evaluation.

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cross-functional
data-analytics

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.

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