Junior Data Analyst – Tampa

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Job Summary: Citi is a global financial services company, and they are seeking a highly skilled Technical Data Analyst to join their growing team. This role requires a strong technical foundation in Oracle PL/SQL and Python, combined with expertise in data analysis tools and techniques, to drive data-driven insights and contribute to key business decisions.
Responsibilities: • Utilize knowledge of applications development procedures and concepts, and basic knowledge of other technical areas to identify and define necessary system enhancements • Identify and analyze issues, make recommendations, and implement solutions • Utilize knowledge of business processes, system processes, and industry standards to solve complex issues • Analyze information and make evaluative judgements to recommend solutions and improvements • Conduct testing and debugging, utilize script tools, and write basic code for design specifications • Assess applicability of similar experiences and evaluate options under circumstances not covered by procedures • Develop working knowledge of Citi’s information systems, procedures, standards, client server application development, network operations, database administration, systems administration, data center operations, and PC-based applications • 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 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.
Qualifications:
Required: • 1-2 years of relevant experience • Experience in programming/debugging used in business applications • Working knowledge of industry practice and standards • Comprehensive knowledge of specific business area for application development • Working knowledge of program languages • Consistently demonstrates clear and concise written and verbal communication • Bachelor’s degree/University degree or equivalent experience • Strong technical foundation in Oracle PL/SQL and Python • Expertise in data analysis tools and techniques • Ability to lead and mentor a team of data analysts • Researching and evaluating emerging AI tools and techniques for potential application in data analysis projects • 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
Preferred: • 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
Company: Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. Founded in 1812, the company is headquartered in San Antonio, Texas, USA, with a team of 10001+ employees. The company is currently Late Stage. Citi has a track record of offering H1B sponsorships.