Job Description

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.

Education:

• Bachelor's degree/University degree or equivalent experience

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
This is a Data Analytics(Development) role.

• Minimum 2 years' experience as Technical Data Analyst(not a business analyst) with hands-on PL/SQL experience to interpret analytical tasks and analyze the large dataset
• Hands-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.

• Coordinates and contribute to the objectives of data science initiatives and overall business through leveraging in-depth understanding of how areas collectively integrate within the sub-function.
• Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis.
• Delivers analytics initiatives to address business problems with the ability to identify data required, assess time & effort required and establish a project plan.
• Experience in Financial sector is an advantage

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.
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