Job Details
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 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
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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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