Key Responsibilities:• Extract, clean, and analyze large datasets to identify patterns and trends.• Develop and maintain dashboards and reports to monitor business performance.• Work with cross-functional teams to improve data accuracy and accessibility.• Drive data strategy, customer segmentation, and portfolio risk analysis.• Contribute to AI-driven product innovations.

Required skills and Qualifications:• Education: Bachelor's or Master’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field.

• Proficiency in Python for statistical modeling, ML algorithms, and exploratory data analysis, with hands-on experience in libraries such as Pandas, NumPy, Matplotlib, Seaborn, and scikit-learn.





• Expert-level SQL capabilities for querying relational databases and performing data extraction and transformation.

• Exposure to Tableau for developing dashboards and generating business insights.

• Strong analytical thinking, with a focus on problem synthesis, root cause analysis, and data storytelling.

• Experience with machine learning, deep learning, and natural language processing (NLP) is preferred.

• Solid communication and storytelling skills.

Optional Familiarity With:• Apache Airflow for data workflow automation.• Cloud computing platforms (AWS, GCP).• Version control systems (Git, Bitbucket).

📌 Senior Data Analyst (Mumbai)
🏢 Kissht
📍 Mumbai