Role & Responsibilities: Assist the analytics team in collecting, cleaning, and analyzing financial and user behavior data using Python. Build dashboards and visual reports to monitor KPIs, trading patterns, and product performance using tools like Excel, Power BI, or Tableau. Perform exploratory data analysis (EDA) to generate actionable insights and support strategic business decisions. Collaborate with product managers, engineers, and traders to identify data needs and deliver ad hoc reports. Document findings, methodologies, and analysis logic clearly for future reference and scalability. Gain hands-on experience with SQL, Python, and analytics tools used in real-world trading environments. Preferred Candidate Profile: Pursuing a Bachelors or Master’s degree in Data Science, Statistics, Computer Science, Finance, or related field. Strong analytical mindset with basic knowledge of statistical concepts and data analysis techniques. Familiarity with SQL and Python (Pandas, NumPy, Matplotlib/Seaborn) for data wrangling and visualization. Knowledge of financial markets or trading concepts is a strong plus. Proficiency in Excel and experience with BI tools like Tableau or Power BI is advantageous. Excellent communication skills with the ability to present data-driven insights effectively. Eagerness to learn, attention to detail, and the ability to work in a fast-paced, data-driven environment.