Business Analyst

2 days ago

Nagpur, Maharashtra, India SolarSquare Full time ₹ 10,00,000 - ₹ 30,00,000 per year

About SolarSquare:

At SolarSquare we are building the Home-Energy brand of future India. We help homes switch to rooftop solar and move away from traditional coal electricity. We are a full-stack D2C residential solar brand - designing, installing, maintaining (after-sales) and financing solar systems for home-owners across India.

In 3 years we have scaled to become the leading residential solar brand in India. We are obsessed with quality, customer service and innovating to make it simple for homes to switch to solar. We are looking for leaders to join us in this mission.

Know us a bit better through these links:

  • Techcrunch SolarSquare article
  • Elevation - Podcast with SolarSquare Founders
  • Startup by IIT Grads Helps Indian Homes Run on Zero Electricity, Earns Rs 200 Crore in Revenues
  • The Climate Conversations ft Solar Square
  • Elevation Capital - SolarSquare

Key Responsibilities :


• Collect, clean, and validate large datasets from multiple sources.


• Analyze data to identify trends, patterns, and correlations that impact business outcomes.


• Develop and maintain dashboards, reports, and visualizations to track KPIs and business performance.


• Partner with cross-functional teams (sales, marketing, finance, operations) to provide datadriven recommendations.


• Perform ad-hoc analysis to support strategic and operational initiatives.


• Use statistical methods to interpret data and build predictive models where necessary.


• Ensure data integrity, accuracy, and compliance with company policies.


• Continuously improve data collection and analysis processes for efficiency

Requirements :


• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or related field.


• 2–5 years of proven experience as a Data Analyst or in a similar role.


• Strong proficiency in SQL, Excel, and data visualization tools (Power BI, Tableau, or similar).


• Hands-on experience with Python/R for data analysis is a plus.


• Solid understanding of statistical methods and data modeling techniques.


• Excellent problem-solving skills with strong attention to detail.


• Ability to communicate insights clearly to both technical and non-technical stakeholders.

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