Job Description

- Clean, transform, and validate large datasets from multiple sources.

- Conduct exploratory analysis to identify trends, patterns, and inconsistencies.

- Create clear visualizations using dashboards or reporting tools.

- Use Python (pandas, numpy) to automate reporting and streamline data workflows.

- Assist in developing scripts and internal tools to support operational efficiencies.

- Apply basic statistical or machine learning techniques for simple analytical tasks.

- Explore modern AI technologies (e.g., Generative AI, LLMs) to support internal initiatives.

- Prepare datasets for advanced modeling under senior guidance.

- Work closely with analysts, engineers, and business teams to understand data needs.

- Present findings and insights in clear and easy-to-understand formats.

Job Requirements

• Degree in Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or a related field.
• Strong proficiency in Python (pandas preferred).
• Solid understanding of SQL for data extraction and manipulation.
• Good working knowledge of Excel.
• Basic understanding of statistics and data interpretation.
• Strong analytical and problem-solving abilities.
• Detail-oriented, especially when handling large datasets.
• Eager to learn and explore new technologies.
• Good communication and teamwork skills.
• Familiarity with ML libraries such as scikit-learn is additional advantage.
• Exposure to LLMs or Generative AI tools is additional advantage.
• Experience with dashboards (Looker Studio, Tableau, Superset, etc.) is additional advantage.
• Basic understanding of cloud platforms (AWS, GCP) or Colab notebooks is additional advantage.

Skills