Data Analyst

About the Role: We are looking for a highly motivated Data Analyst / Data Scientist who can bridge analytics and applied data science - someone passionate about transforming raw data into meaningful business insights using modern tools, programming, and GenAI capabilities. Key Responsibilities: - Develop and maintain data pipelines using Python, MySQL, Redshift, and AWS DMS. - Perform data extraction, cleaning, and transformation for analytics and reporting. - Build interactive dashboards and reports using Tableau or similar visualization tools. - Apply statistical techniques and data science methods to derive insights and predictive models. - Collaborate with business teams to translate data findings into actionable decisions. - Explore and integrate GenAI and OpenAI APIs for automating and enhancing analytical workflows. - Work closely with stakeholders to ensure data accuracy, integrity, and timely delivery of insights. Required Skills: - 1 to 3 years of relevant work experience. - Strong proficiency in Python (Pandas, NumPy, Matplotlib, Scikit-learn). - Expertise in SQL with experience on MySQL and AWS Redshift. - Hands-on with AWS DMS and data pipeline automation. - Good understanding of Tableau or other visualization platforms. - Strong grasp of statistics, mathematics, and analytical problem-solving. - Exposure to Data Science techniques (regression, clustering, classification, forecasting). - Familiarity with GenAI / OpenAI and how to apply AI models in business analytics. - Ability to understand business context and translate data into insights and recommendations.

Good to Have: - Knowledge of ETL design and data warehouse concepts. - Experience in agri-tech, supply chain, or operations analytics. - Prior exposure to LLMs or prompt-based automation using Python. Why Join Us: - Opportunity to work on data science + GenAI hybrid projects. - Exposure to cross-functional problem-solving in a fast-scaling organization. - Ownership, learning, and innovation at the intersection of data and AI.