What do we doThe TTS Analytics team provides analytical insights to the Product, Pricing, Client Experience and Sales functions within the global Treasury & Trade Services business. The team works on business problems focused on driving acquisitions, cross-sell, revenue growth & improvements in client experience.The team extracts relevant insights, identifies business opportunities, converts business problems into analytical frameworks, uses big data tools and machine learning algorithms to build predictive models & other solutions, and designs go-to-market strategies for a huge variety of business problems.Role DescriptionThe role will be Business Analytics Analyst (C10) in the TTS Analytics teamThe role will report to the AVP/VP leading the teamThe role will involve working on multiple analyses through the year on business problems across the client life cycle – acquisition, engagement, client experience and retention – for the TTS businessThis will involve 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 stakeholdersQualificationsBachelor's Degree with 3+ years of experience in data analytics or Masters Degree with 2+ years of experience in data analyticsExperience:Must have:Identifying and resolving business problems (around sales/marketing strategy optimization, pricing optimization, client experience, cross-sell and retention) preferably in the financial services industryLeveraging and developing analytical tools and methods to identify patterns, trends and outliers in dataApplying Predictive Modeling techniques for a wide range of business problemsWorking with data from different sources, with different complexities, both structured and unstructuredUtilizing text data to derive business value by leveraging different NLP techniquesGood to have:Experience working with data from different sources and of different complexitySkills:Analytical Skills:Proficient in formulating analytical methodology, identifying trends and patterns with dataHas the ability to work hands-on to retrieve and manipulate data from big data environmentsTools and Platforms:Proficient in Python/R, PySpark and related toolsExperience in HiveProficient in MS Excel, PowerPointGood to have:Experience with PySparkExperience with TableauSoft Skills:Strong analytical and problem-solving skillsExcellent communication and interpersonal skillsBe organized, detail oriented, and adaptive to matrix work environment------------------------------------------------------Job Family Group:Decision Management------------------------------------------------------Job Family:Business Analysis------------------------------------------------------Time Type:Full time------------------------------------------------------Citi is an equal opportunity and affirmative action employer.Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.Citigroup Inc. and its subsidiaries ("Citi") invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity reviewAccessibility at Citi.View the "EEO is the Law" poster. View theEEO is the Law Supplement.View theEEO Policy Statement.View thePay Transparency Posting
