Data Science Senior Analyst

1 day ago

Irving, Texas, United States Citigroup Inc Full time
Job Summary

The Data Science Senior Analyst is a seasoned professional role that applies in-depth disciplinary knowledge to contribute to the development of new techniques and the improvement of processes and workflows for the area or function. This role integrates subject matter and industry expertise within a defined area, requiring an in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business.

Key Responsibilities
  • Partner with product, operations, policy, and engineering teams to scope, design, execute, measure, and improve compliance in Citi.
  • Conduct quantitative analysis, deliver insights, and influence compliance decision making.
  • Design and monitor core metrics; perform root cause analysis to explain drivers.
  • Conducts strategic data analysis, identifies insights and implications, and makes strategic recommendations, develops data displays that clearly communicate complex analysis.
  • Mines and analyzes data from various banking platforms to drive optimization and improve data quality.
  • Deliver analytics initiatives to address business problems with the ability to determine data required, assess time & effort required, and establish a project plan.
  • Consults with business clients to determine system functional specifications. Applies comprehensive understanding of how multiple areas collectively integrate to contribute towards achieving business objectives.
  • Consults with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems, and industry standards; recommends solutions.
  • Leads system change process from requirements through implementation; provides user and operational support of application to business users.
  • Formulates and defines systems scope and objectives for complex projects through research and fact-finding combined with an understanding of applicable business systems and industry standards.
  • Impacts the business directly by ensuring the quality of work provided by self and others; impacts own team and closely related work teams.
  • Considers the business implications of the application of technology to the current business environment; identifies and communicates risks and impacts.
  • Drives communication between business leaders and IT; exhibits sound and comprehensive communication and diplomacy skills to exchange complex information.
  • Performs other duties and functions as assigned.
Qualifications
  • 5-8 years experience in business and data analysis, process improvement, and project management.
  • Expert background in utilizing SQL/Python to extract, manipulate, and analyze datasets.
  • Experience with tools such as SQL, Python, Tableau, PySpark, Airflow, Git, JIRA, and Confluence.
  • Experience in Data Modelling.
  • Experience in ETL technologies.
  • Data pipeline or engineering experiences.
  • AI and machine learning experience.
  • Experience with creating data visualizations to communicate metric performance.
  • Experience building data infrastructure and implementing reporting solutions.
  • Ability to effectively use complex analytical, interpretive, and problem-solving techniques.
  • Experience with statistical analysis or data modeling techniques, including: hypothesis testing, experiment design, and common regression and classification algorithms.
  • Demonstrated interpersonal, verbal, and written communication skills.
  • Methodical attention to detail.
  • Experience using tools for statistical modeling of large data sets.
  • Python Certification.

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