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Job Description

Position: Data Analyst Intern
Location: Gurugram, Haryana, India (On-site)

About the Role

Varaha is at the forefront of developing innovative solutions to combat climate change. We are a small, ambitious, and international team working on scalable, real-world systems. We are seeking a motivated and detail-oriented Data Analyst Intern to join our team and contribute to our mission by transforming complex datasets into actionable insights.

Responsibilities

As a Data Analyst Intern, you will work closely with our Engineering and Product Management teams. Your key responsibilities will include:

  • Querying and managing databases (PostgreSQL) to extract and prepare data for analysis.

  • Assisting in cleaning, preprocessing, and analyzing large-scale structured and unstructured datasets.
  • Performing exploratory data analysis to identify trends and patterns that support product development and business decisions.
  • Developing and maintaining data processing scripts and automation workflows using Python.
  • Creating data visualizations, dashboards (using Looker Studio, Power BI), and reports to communicate findings effectively to technical and non-technical stakeholders.
  • Collaborating with team members to translate product requirements and business questions into data-driven analysis and insights.
  • Supporting the team by documenting data sources, queries, and analysis results for clarity and reproducibility.

Qualifications

Skills Qualifications

Core Skills Qualifications

  • Proficiency in SQL and experience with relational databases, specifically PostgreSQL.

  • Hands-on experience with database management tools (e.g., DBeaver, pgAdmin) and BI/visualization tools (e.g., Looker Studio, Power BI).
  • Strong foundational knowledge of Python programming, particularly for data manipulation and analysis (experience with Pandas and NumPy is essential).
  • Solid understanding of fundamental statistical concepts.
  • Excellent analytical and problem-solving skills with a keen eye for detail.
  • Strong organizational skills and the ability to document work clearly.

Education

  • Currently pursuing or recently completed a Bachelor’s (B.Tech) or Master’s degree in Data Science, Computer Science, Statistics, Information Systems, or a related quantitative field from a recognized institution.

Additional Information

Bonus Points

  • Prior experience working with geospatial datasets.

  • Exposure to machine learning concepts and libraries (e.g., Scikit-learn).
  • A demonstrated interest in climate change, agriculture, or environmental science.
  • Experience participating in data analysis competitions or personal projects showcased on platforms like GitHub.


What We Offer

Join a small, ambitious, and international team and enjoy the following benefits:

  • Mentorship: Receive guidance from a cross-functional, impact-driven team of experienced engineers and product managers.

  • Impactful Work: An opportunity to work on real-world data and contribute to scalable systems that are tackling climate change.
  • Collaborative Environment: Join a creative, unbureaucratic, and collaborative work culture where your ideas are valued.
  • Professional Development: A supportive environment that encourages learning and growth in the rapidly evolving field of data analytics and climate tech.


Please note this job description is not designed to contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
Varaha is an Equal Opportunity Employer. This company does not discriminate in employment and personnel practices based on race, sex, age, handicap, religion, national origin or any other basis prohibited by applicable law. Hiring, transferring and promotion practices are performed without regard to the above listed items.

If you are interested in becoming a part of this venture, then we would love to know your story, write to us at careers@varahaag.com

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