Description

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

Education

Any Graduate