Data Analyst
DeHaat
0 - 3 years
Gurugram, Ambala
Posted: 17/06/2026
Job Description
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.
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