Data Analyst - AI Adoption in Mumbai 2-4 year(s) | MyCareernet | Hiring Now

Key Skills: Data Analyst, AI/ML, AI Artificial intelligence Roles and Responsibilities: Develop and maintain scalable data pipelines using Databricks and PySpark. Perform data extraction, transformation, and analysis using Python and SQL. Analyze large datasets to generate actionable business insights and support decision-making. Design customer segmentation and targeting strategies for business and marketing campaigns. Monitor campaign performance and recommend optimization opportunities based on data analysis. Collaborate with AI/ML teams to operationalize machine learning models into business processes. Support AI adoption initiatives by identifying opportunities for automation and data-driven decision-making. Work closely with business, marketing, product, risk, and technology teams to deliver analytics solutions. Ensure data quality, governance, and compliance with organizational standards. Present analytical findings and recommendations to technical and business stakeholders. Skills Required: Strong experience in Data Analytics using Python, PySpark, SQL, and Databricks. Good understanding of AI/ML concepts and data-driven business solutions. Experience in customer analytics, campaign analytics, and customer segmentation. Knowledge of data engineering, data transformation, and ETL processes. Familiarity with cloud platforms such as Azure or AWS. Understanding of exploratory data analysis (EDA), data visualization, and business reporting. Experience using Jupyter Notebook and GenAI tools is an added advantage. Strong analytical, problem-solving, communication, and stakeholder management skills. Education: Master's degree in Science, Statistics, or Business, or a Bachelor's degree in Engineering or Technology. Key Skills: Data Analyst, AI/ML, AI Artificial intelligence Roles and Responsibilities: Develop and maintain scalable data pipelines using Databricks and PySpark. Perform data extraction, transformation, and analysis using Python and SQL. Analyze large datasets to generate actionable business insights and support decision-making. Design customer segmentation and targeting strategies for business and marketing campaigns. Monitor campaign performance and recommend optimization opportunities based on data analysis. Collaborate with AI/ML teams to operationalize machine learning models into business processes. Support AI adoption initiatives by identifying opportunities for automation and data-driven decision-making. Work closely with business, marketing, product, risk, and technology teams to deliver analytics solutions. Ensure data quality, governance, and compliance with organizational standards. Present analytical findings and recommendations to technical and business stakeholders. Skills Required: Strong experience in Data Analytics using Python, PySpark, SQL, and Databricks. Good understanding of AI/ML concepts and data-driven business solutions. Experience in customer analytics, campaign analytics, and customer segmentation. Knowledge of data engineering, data transformation, and ETL processes. Familiarity with cloud platforms such as Azure or AWS. Understanding of exploratory data analysis (EDA), data visualization, and business reporting. Experience using Jupyter Notebook and GenAI tools is an added advantage. Strong analytical, problem-solving, communication, and stakeholder management skills. Education: Master's degree in Science, Statistics, or Business, or a Bachelor's degree in Engineering or Technology.