Key Responsibilities:

• Collect, clean, and analyze large datasets using Python, PySpark, and SQL.
• Develop and maintain data pipelines for efficient data processing.
• Create interactive data visualizations and reports to present findings.
• Collaborate with cross-functional teams to understand data needs and provide actionable insights.
• Implement statistical and machine learning models for predictive analysis.
• Ensure data quality, accuracy, and data security.

Qualifications:

• Bachelor's or Master's degree in a related field (e.g., Data Science, Computer Science, Statistics).
• 5 to 8 years of experience as a Data Analyst or in a similar role.
• Proficiency in Python for data analysis and scripting.
• Strong knowledge of SQL for data querying and manipulation.
• Experience with PySpark for big data processing.
• Familiarity with data visualization tools (e.g., Tableau, Power BI).
• Solid understanding of statistical analysis and machine learning.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.

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