Data Analytics Analyst at Citi in Tampa Florida

Summary: Citi is a leading global bank, and they are seeking a 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: - 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 Required Qualifications: - Strong technical foundation in Oracle PL/SQL - Expertise in Python programming - Expertise in data analysis tools and techniques - Proven ability to lead and mentor a team of data analysts - Ability to drive data-driven insights and contribute to key business decisions - 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 - 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 Qualifications: - 1-2 years of hands-on work experience as Technical Data 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 Required Skills: Oracle PL/SQL, Python, Data analysis tools Important Skills: Data visualization tools, AI/ML techniques Nice-to-Have Skills: Analytical skills, Financial services experience, Problem-solving skills, Communication skills, Interpersonal skills Benefits: Medical, dental & vision coverage, 401(k), Life, accident, and disability insurance, Wellness programs, Paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays