**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 Spec Analytics Analyst 2 (C10) in the TTS Analytics 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 3+ years of experience in data analytics, or Master’s Degree with 2+ years of experience in data analytics, or PhD. + Must have: + Marketing analytics experience + Experience across different analytical methods like hypothesis testing, segmentation, time series forecasting, test vs. control comparison etc. + Predictive modeling using Machine Learning + Experience with unstructured data analysis, e.g. call transcripts, using Natural language Processing (NLP)/ Text Mining + Good to have: + Experience in financial services + Digital Marketing and/or Digital Experience domain knowledge **Skills:** **Analytical Skills:** + Proficient in formulating analytical methodology, identifying trends and patterns with data + Has the ability to work hands-on to retrieve and manipulate data from big data environments **Tools and Platforms:** + Proficient in Python/R, SQL + Experience in Hive + Proficient in MS Excel, PowerPoint + Good to have: + Experience with PySpark + Experience with Tableau **Soft Skills:** + Strong analytical and problem-solving skills + Excellent communication and interpersonal skills + Be 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 employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._ _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 Citi’s_ _EEO Policy Statement (https://www.citigroup.com/global/eeo-aa-policy)_ _and the_ _Know Your Rights (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf)_ _poster._ Citi is an equal opportunity and affirmative action employer. Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.