Senior Data Analyst

Key Responsibilities:

• Write and optimize complex SQL queries to extract and analyze large datasets
• Perform data analysis, validation, and reporting for business stakeholders
• Use Python for data cleaning, transformation, and automation
• Apply basic ML/AI techniques for analysis, predictions, or pattern recognition
• Collaborate with teams to identify use cases for ML/AI-driven insights
• Build and maintain dashboards and reports
• Ensure data quality, accuracy, and consistency

Required Skills:

• Strong SQL skills (joins, subqueries, window functions, CTEs, optimization)
• Solid Python basics (Pandas, NumPy, scripting)
• Basic understanding of Machine Learning concepts (regression, classification,

clustering)

• Familiarity with ML/AI libraries (scikit-learn, basic exposure to

TensorFlow/PyTorch is a plus)

• Good understanding of data analysis and problem-solving techniques
• Experience with data visualization tools (Tableau, Power BI, Looker)
• Strong analytical and communication skills