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).

• Experience: 3+ years
• Seniority: Senior Level
• Education: Bachelor's degree required
• Languages: English