Lead Data Analyst

As a Data Analyst in our company, your role will involve writing and optimizing complex SQL queries to extract and analyze large datasets. You will be responsible for performing data analysis, validation, and reporting for business stakeholders. Additionally, you will use Python for data cleaning, transformation, and automation. Applying basic ML/AI techniques for analysis, predictions, or pattern recognition will also be a part of your responsibilities. Collaborating with teams to identify use cases for ML/AI-driven insights and building/maintaining dashboards and reports will be crucial. You will play a key role in ensuring data quality, accuracy, and consistency. 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 Qualifications Required: - 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) - Positive understanding of data analysis and problem-solving techniques - Experience with data visualization tools (Tableau, Power BI, Looker) - Strong analytical and communication skills As a Data Analyst in our company, your role will involve writing and optimizing complex SQL queries to extract and analyze large datasets. You will be responsible for performing data analysis, validation, and reporting for business stakeholders. Additionally, you will use Python for data cleaning, transformation, and automation. Applying basic ML/AI techniques for analysis, predictions, or pattern recognition will also be a part of your responsibilities. Collaborating with teams to identify use cases for ML/AI-driven insights and building/maintaining dashboards and reports will be crucial. You will play a key role in ensuring data quality, accuracy, and consistency. 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 Qualifications Required: - 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) - Positive understanding of data analysis and problem-solving techniques - Experience with data visualization tools (Tableau, Power BI, Looker) - Strong analytical and communication skills