01Responsibilities
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.Must have: 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:4-7 years of relevant experience in the Financial Service industryIntermediate level experience in Applications Development roleConsistently demonstrates clear and concise written and verbal communicationDemonstrated problem-solving and decision-making skillsAbility to work under pressure and manage deadlines or unexpected changes in expectations or requirementsEducation:Bachelors degree/University degree or equivalent experienceTechnical Data Analyst(not a business analyst) with hands-on PL/SQL experience to interpret analytical tasks and analyzing the large datasetHands-on Oracle/SQL experience to develop performance optimized SQL script to fetch/analyze data from Oracle Database.Excellent understanding of business operation and analytics tools for effective analysis of data. .
