**TTS Analytics C12** **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 Asst. Vice President (C12) in the TTS Analytics team + The role will report to the VP or SVP leading the team + The 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 business + This 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 stakeholders QUALIFICATIONS **Experience:** + Bachelor’s Degree with 7-10 years of experience in data analytics, or Master’s Degree with 6-10 years of experience in data analytics, or PhD. + Must have: + Business analytics experience + Experience on business problems around sales/marketing strategy optimization, pricing optimization, client experience, cross-sell and retention + Experience across different analytical methods like hypothesis testing, segmentation, time series forecasting, test vs. control comparison etc. + Experience working with large datasets using technologies such as PySpark, Hive, Impala, SQL etc. + Good to have: + Experience in financial services + Experience working with data from different sources and of different complexity + Predictive modeling using Machine Learning + Experience with unstructured data analysis, e.g. call transcripts, using Natural language Processing (NLP)/ Text Mining **Skills:** **Analytical Skills:** + Ability to understand complex business problems, break them down into simpler solvable parts and develop analytical approaches to tackle them + Strong logical reasoning and problem-solving ability + Proficient in converting business problems into analytical tasks, and analytical findings into business insights + Proficient in identifying trends and patterns with data ------------------------------------------------------ **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 review **Accessibility at Citi (https://www.citigroup.com/citi/accessibility/application-accessibility.htm)** . View the "EEO is the Law (https://www.dol.gov/sites/dolgov/files/ofccp/regs/compliance/posters/pdf/eeopost.pdf) " poster. View the EEO is the Law Supplement (https://www.dol.gov/sites/dolgov/files/ofccp/regs/compliance/posters/pdf/OFCCP\_EEO\_Supplement\_Final\_JRF\_QA\_508c.pdf) . View the EEO Policy Statement (http://citi.com/citi/diversity/assets/pdf/eeo\_aa\_policy.pdf) . View the Pay Transparency Posting (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp\_%20English\_formattedESQA508c.pdf) Citi is an equal opportunity and affirmative action employer. Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.