Responsibilities:
• Design, develop, and maintain complex Oracle PL/SQL queries and procedures for data extraction, transformation, and loading (ETL) processes.
• Utilize Python scripting for data analysis, automation, and reporting.
• Perform in-depth data analysis to identify trends, patterns, and anomalies, providing actionable insights to improve business performance.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications.
• Develop and maintain data quality standards and ensure data integrity across various systems.
• Leverage data analysis and visualization tools (e.g., Tableau, Power BI, Qlik Sense) to create interactive dashboards and reports for business stakeholders.
• Stay up-to-date with the latest data analysis tools, techniques, and industry best practices, including AI/ML advancements.
• Research and evaluate emerging AI/ML tools and techniques for potential application in data analysis projects.
Preferred Qualifications:
• Hands-on work experience as Technical Data Analyst(not a business analyst) with Oracle PL/SQL & python programming to interpret analytical tasks and analyze the large datasets.
• Proficiency in Python scripting for data analysis and automation.
• Expertise in data visualization tools such as Tableau, Power BI, or Qlik Sense.
• Awareness and understanding of AI/ML tools and techniques in data analytics (e.g., machine learning algorithms, natural language processing, predictive modeling).
• Practical experience applying AI/ML techniques in data analysis projects is a plus.
• Strong analytical, problem-solving, communication, and interpersonal skills.
• Experience in the financial services industry.
Qualifications: