Analyst

• Strong foundation in Java, React, NodeJS, Python, SQL, and Excel
• Basic understanding of data structures, databases, and algorithms
• Exposure to pandas, NumPy, PySpark, scikit-learn, GenAI, Agentic AI or TensorFlow is a plus o Familiarity with BI tools (e.g., Power BI, Tableau) or cloud platforms (e.g., AWS, GCP) is desirable o Knowledge of version control (Git) is an advantage Soft Skills
• Curiosity and a passion for data-driven problem solving
• Strong analytical and logical thinking
• Good communication and collaboration skills
• Willingness to learn in a fast-paced environment
• Ability to break down complex problems and document clearly Preferred (Good to Have, Not Mandatory)
• Internship or academic project in data analytics, machine learning, or database systems
• Participation in hackathons, coding contests, or Kaggle competitions
• Exposure to Agile or collaborative tools like JIRA, Confluence What You’ll Gain
• Hands-on experience across analytics, data science, and engineering tracks to solve critical Business problems.
• Opportunity to work on live projects and scalable systems
• Mentorship from experienced data professionals
• Career pathways in analytics, data science, GenAI, Agentic AI or data engineering based on your interest and skills
  

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