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Analytics and Insights Specialist

Analytics and Insights Specialist

DeHaatHaryāna, Republic Of India, IN
7 hours ago
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 :

  • Experience : 1-2 years
  • 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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