Data Scientist

Salary

₹10 - 12 LPA

Min Experience

2 years

Location

Bengaluru

JobType

full-time

About the role

Data Analyst (Work From Office – Bengaluru)

Location: Bengaluru, India
Department: Data & Analytics
Industry: Climate Tech
Company: Varaha Climate

 

 

 

About Varaha Climate

Varaha Climate is a leading Climate Tech startup leveraging data science, AI, and geospatial analytics to drive carbon markets and sustainability solutions. We are looking for a Data Analyst with a strong foundation in statistical modeling and analytical skills to help us extract actionable insights from complex datasets.

This role is Work from Office in Bengaluru, India.

Key Responsibilities

  • Analyze large datasets to identify trends, patterns, and actionable insights.
  • Develop data visualizations, reports, and dashboards using BI tools (Superset, Power BI, Tableau, or Looker).
  • Work with SQL and Python to extract, clean, and manipulate data efficiently.
  • Apply statistical models, hypothesis testing, and regression analysis to support decision-making.
  • Collaborate with engineering and product teams to improve data-driven strategies.

Required Qualifications

  • 3+ years of experience in data analysis, reporting, and statistical modeling.
  • Proficiency in SQL, Python (Pandas, NumPy, SciPy), and statistical methods.
  • Experience with data visualization tools (Superset, Tableau, Power BI, Looker).
  • Strong understanding of probability, regression, time series analysis, and hypothesis testing.
  • Ability to interpret complex datasets and communicate insights clearly.

Nice-to-Have Skills

  • Experience in predictive analytics and forecasting.
  • Familiarity with geospatial data processing and GIS tools.
  • Exposure to machine learning models and MLOps frameworks.

Why Join Us?

  • Work on impactful data analytics projects in Climate Tech.
  • Collaborative work culture and fast career growth opportunities.
  • Competitive salary and benefits.

 

Skills

SQL
Data Science with python
Statistical Analysis
Statistical Analysis Tools