Data Analytics Senior Analyst – Assistant Vice President at Citi

Team/Role Overview

The Research Labs Team within the Citi Internal Audit (IA) Strategy, Change Management and Special Projects works across Internal Audit to identify innovation and improvement opportunities, and prototype solutions to promote automation, efficiency, and impact. Interested candidates must be proficient in the development and usage of key analytics toolsets and have functional knowledge of banking processes and related risks and controls. The ideal candidate should be proactive, agile, and able to exercise independent judgement to solve complex business problems.

What you will do

• Gather and translate business requirements and design end-to-end technical solutions to solve varied problem statements.
•  Understand the applicability of data and analytics in an audit context and be able to use provided self-serve solutions..
• Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and workflows.
• Understand the end-to-end solution design process, including how your work fits into the bigger picture.
• Understand the end-to-end innovation process (ideation, prototyping, evaluation) and be able to execute elements of the process.
• Understand the typical solution development lifecycle (plan, design, build, test, adopt) and be able to execute elements of the process.
• Drive efficiency through implementation of business process and data automation.
• Continuously identify ways to improve IA processes by exploring and evaluating new data sources, tools, and capabilities.
• Develop professional relationships with audit teams to assist in the definition of analytics and automation opportunities.

What we will need from you

• Previous relevant experience within Data Analytics
• Ability to effectively use complex analytical, interpretive, and problem-solving techniques
• Strong interpersonal and multicultural skills for interfacing with all levels of internal and external teams and management.
• Self-driven, adaptable, curious about learning and developing new skillsets.
• Excellent analytical and problem-solving ability, able to understand business processes and develop appropriate solutions
• Detail oriented approach, consistently performing diligent self-reviews of work product, and attention to data completeness and accuracy.
• Strong verbal and written communication skills with ability to explain technical subjects to non-technical stakeholders
• Proficiency in one or more of the following technical skillsets is required:  data manipulation, scripting, and automation, including experience with libraries such as Pandas and NumPy; data visualization (Tableau, PowerBI, etc.); agile project management tools (Jira, Confluence etc.); solution development life cycle; visual design; and business process design.

Education

• Bachelor’s Degree/University degree or equivalent experience