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The Applications Development Intermediate Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities.
Job Responsibility:
Utilize knowledge of applications development procedures and concepts, and basic knowledge of other technical areas to identify and define necessary system enhancements, including using script tools and analyzing/interpreting code
Consult with users, clients, and other technology groups on issues, and recommend programming solutions, install, and support customer exposure systems
Apply fundamental knowledge of programming languages for design specifications
Analyze applications to identify vulnerabilities and security issues, as well as conduct testing and debugging
Serve as advisor or coach to new or lower level analysts
Identify problems, analyze information, and make evaluative judgements to recommend and implement solutions
Resolve issues by identifying and selecting solutions through the applications of acquired technical experience and guided by precedents
Has the ability to operate with a limited level of direct supervision
Can exercise independence of judgement and autonomy
Acts as SME to senior stakeholders and /or other team members
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency
Design, develop, and maintain complex Oracle PL/SQL queries and procedures for data extraction, transformation, and loading (ETL) processes
Utilize Python scripting for automation
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
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
Requirements:
2-5 years of relevant experience in the Financial Service industry
Intermediate level experience in Applications Development role
Consistently demonstrates clear and concise written and verbal communication
Demonstrated problem-solving and decision-making skills
Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements
Bachelor’s degree/University degree or equivalent experience
Strong analytical, problem-solving, communication, presentation, and interpersonal skills
Hands-on work experience as Technical Data Analyst with Oracle PL/SQL & python programming to interpret analytical tasks and analyze the large datasets
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)
Experience in the financial services industry would be preferred
Nice to have:
Strong analytical, problem-solving, communication, presentation, and interpersonal skills
Hands-on work experience as Technical Data Analyst with Oracle PL/SQL & python programming to interpret analytical tasks and analyze the large datasets
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)
Experience in the financial services industry would be preferred
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