What do we do:The 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 Description:The role will be Business Analytics Intermediate Analyst (C11) 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 stakeholdersQualifications:Bachelor's Degree with 5-8 years of experience in data analytics, or Master's Degree with 4-8 years of experience in data analytics, or PhD.Experience:Must have:Marketing analytics experienceExperience on business problems around sales/marketing strategy optimization, pricing optimization, client experience, cross-sell and retentionExperience across different analytical methods like hypothesis testing, segmentation, time series forecasting, test vs. control comparison etc.Predictive modeling using Machine LearningExperience with unstructured data analysis, e.g. call transcripts, using Natural language Processing (NLP)/ Text MiningGood to have:Experience in financial servicesExperience working with data from different sources and of different complexitySkills:Analytical Skills:Strong logical reasoning and problem solving abilityProficient in converting business problems into analytical tasks, and analytical findings into business insightsProficient 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, SQLExperience in HiveProficient in MS Excel, PowerPointGood to have:Experience with PySparkExperience with TableauSoft Skills:Ability to identify, clearly articulate and solve complex business problems and present them to the management in a structured and simpler formShould have excellent communication and inter-personal skillsStrong process/project management skillsAbility to coach and mentor juniorsContribute to organizational initiatives in wide ranging areas including competency development, training, organizational building activities etc.------------------------------------------------------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
