Senior 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).

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.