Data Analyst

We are seeking a motivated and detail-oriented Data Analyst to join our team. This role combines

hands-on data work with opportunities to explore modern AI tools. You will work with real datasets, automate workflows, generate insights, and support data-driven decision making across various teams.

This position is ideal for fresh graduates or candidates with 1–2 years of experience who are strong

in Python and SQL.

Main Responsibilities

• 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.