Sr Data Analyst

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.
• Strong communication and storytelling skills.

Optional Familiarity With

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

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