AI Analytics - Python

Role Overview: You will apply data science techniques to drive business solutions. Partner with stakeholders to identify opportunities to leverage data for business solutions. Analyze and mine large datasets from Sales Analytics databases to improve efficiency. Develop automated reports and scalable dashboards to deliver insights aligned with business priorities. Build monitoring tools to track model performance and data quality. Support the development and deployment of AI/ML-driven analytical models. Key Responsibilities: - Partner with stakeholders to identify opportunities to leverage data for business solutions. - Analyze and mine large datasets from Sales Analytics databases to improve efficiency. - Develop automated reports and scalable dashboards to deliver insights aligned with business priorities. - Build monitoring tools to track model performance and data quality. - Support the development and deployment of AI/ML-driven analytical models. Qualifications Required: - 5+ years of experience in Data Analytics, AI Analytics, or Business Analytics. - Strong hands-on programming experience in Python (Pandas, NumPy, basic ML libraries). - Basic understanding of AI / Machine Learning concepts and model evaluation. - Experience working with SQL for data extraction and transformation. - Experience building automated reporting solutions with large enterprise datasets. - Proficiency in Data Analytics. - Knowledge of Data Visualization tools. - Understanding of Artificial Intelligence principles. Role Overview: You will apply data science techniques to drive business solutions. Partner with stakeholders to identify opportunities to leverage data for business solutions. Analyze and mine large datasets from Sales Analytics databases to improve efficiency. Develop automated reports and scalable dashboards to deliver insights aligned with business priorities. Build monitoring tools to track model performance and data quality. Support the development and deployment of AI/ML-driven analytical models. Key Responsibilities: - Partner with stakeholders to identify opportunities to leverage data for business solutions. - Analyze and mine large datasets from Sales Analytics databases to improve efficiency. - Develop automated reports and scalable dashboards to deliver insights aligned with business priorities. - Build monitoring tools to track model performance and data quality. - Support the development and deployment of AI/ML-driven analytical models. Qualifications Required: - 5+ years of experience in Data Analytics, AI Analytics, or Business Analytics. - Strong hands-on programming experience in Python (Pandas, NumPy, basic ML libraries). - Basic understanding of AI / Machine Learning concepts and model evaluation. - Experience working with SQL for data extraction and transformation. - Experience building automated reporting solutions with large enterprise datasets. - Proficiency in Data Analytics. - Knowledge of Data Visualization tools. - Understanding of Artificial Intelligence principles.