Citi Treasury and Trade Services Analytics

The TTS Analytics team provides analytical insights to the Product, Pricing, Client Experience, and Sales functions within the global Treasury & Trade Services business. You will work on business problems focused on driving acquisitions, cross-sell, revenue growth & improvements in client experience. You will extract relevant insights, identify business opportunities, convert business problems into analytical frameworks, use big data tools and machine learning algorithms to build predictive models & other solutions, and design go-to-market strategies for a huge variety of business problems. The role of Spec Analytics Analyst 2 (C10) in the TTS Analytics team involves reporting to the AVP leading the team and working on multiple analyses throughout the year on business problems across the client life cycle acquisition, engagement, client experience, and retention for the TTS business. This will require leveraging multiple analytical approaches, tools, and techniques, working on multiple data sources (client profile & engagement data, transactions & revenue data, digital data, unstructured data like call transcripts, etc.) to provide data-driven insights to business and functional stakeholders. Qualifications: - Bachelors Degree with 3+ years of experience in data analytics or Masters Degree with 2+ years of experience in data analytics - Experience in identifying and resolving business problems in areas such as sales/marketing strategy optimization, pricing optimization, client experience, cross-sell, and retention preferably in the financial services industry - Proficiency in leveraging and developing analytical tools and methods to identify patterns, trends, and outliers in data - Ability to apply Predictive Modeling techniques for a wide range of business problems - Experience in working with data from different sources, with different complexities, both structured and unstructured - Ability to utilize text data to derive business value by leveraging different NLP techniques Skills: - Proficient in formulating analytical methodology, identifying trends and patterns with data - Ability to work hands-on to retrieve and manipulate data from big data environments - Proficiency in Python/R, PySpark and related tools, along with experience in Hive - Proficiency in MS Excel, PowerPoint, and experience with PySpark and Tableau (Good to have) - Strong analytical and problem-solving skills - Excellent communication and interpersonal skills - Organized, detail-oriented, and adaptive to a matrix work environment If you are a person with a disability and need a reasonable accommodation to use search tools and/or apply for a career opportunity, review Accessibility at Citi. View Citis EEO Policy Statement and the Know Your Rights poster.,