Analyst - Climate Tech Startup

HyrEzy is hiring an Analyst for their climate tech startup in Bengaluru. The role requires expertise in data analysis, business strategy, and climate technology to provide insights and support solutions for the climate crisis. Key responsibilities include analyzing datasets, developing models, and collaborating with teams. Candidates should have a relevant degree, skills in SQL, Python, and a strong understanding of climate science. This is a full-time position with a salary range of ₹800K–₹1.5M.
Analyst - Climate Tech Startup

Overview:
We are seeking a highly motivated and analytical Analyst to join our innovative climate tech startup. The ideal candidate will possess a deep understanding of data analysis, business strategy, and climate technology. This role will contribute to our mission of driving actionable insights and supporting the development of solutions to address the global climate crisis.

Key Responsibilities:

Conduct data analysis on complex datasets to identify trends, patterns, and insights related to climate change and renewable energy
Develop and implement data-driven models to forecast future climate impacts and market scenarios
Support business decision-making by providing actionable recommendations based on data-driven analysis
Collaborate with cross-functional teams to ensure alignment with the company's climate tech goals
Stay abreast of the latest climate technology trends and research to inform analysis and decision-making

Technical Skills:

Proficient in statistical analysis and data modeling
Extensive experience with SQL, Python, and cloud computing platforms (e.g., AWS)
Familiarity with climate change modeling and data analysis tools
Experience with machine learning and data visualization techniques

Required Qualifications:

Bachelor's or Master's degree in Data Science, Statistics, or a related field
Strong understanding of climate science and climate technology
Excellent analytical and problem-solving skills
Ability to communicate complex technical concepts effectively to both technical and non-technical audiences