We are seeking a highly skilled Technical Data Analyst to join our growing team. This role requires a strong technical foundation in Oracle PL/SQL and Python, combined with expertise in data analysis tools and techniques. The ideal candidate will be a strategic thinker with a proven ability to lead and mentor a team of data analysts, driving data-driven insights and contributing to key business decisions. They will also be responsible for researching and evaluating emerging AI tools and techniques for potential application in data analysis projects. **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. This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. **Mandatory skills required - Working hands-on experience in Python, Java, Spark, Oracle PL/SQL, Unix/Linux.** **Minimum 2 years of hands-on Development experience** ------------------------------------------------------ **Job Family Group:** Technology ------------------------------------------------------ **Job Family:** Applications Development ------------------------------------------------------ **Time Type:** Full time ------------------------------------------------------ **Most Relevant Skills** Please see the requirements listed above. ------------------------------------------------------ **Other Relevant Skills** For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ _Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._ _If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _Accessibility at Citi (https://www.citigroup.com/citi/accessibility/application-accessibility.htm)_ _._ _View Citi’s_ _EEO Policy Statement (https://www.citigroup.com/global/eeo-aa-policy)_ _and the_ _Know Your Rights (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf)_ _poster._ Citi is an equal opportunity and affirmative action employer. Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.