+ 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. QUALIFICATIONS **Experience:** + Bachelor’s or Master’s Degree with 5-8 years of experience in data analytics + Must have: + Marketing 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. + Predictive modeling using Machine Learning + Good to have: + Experience in financial services + Experience working with data from different sources and of different complexity + Experience with unstructured data analysis, e.g. call transcripts, using Natural language Processing (NLP)/ Text Mining **Skills:** **Analytical Skills:** + Strong logical reasoning and problem solving ability + Proficient in converting business problems into analytical tasks, and analytical findings into business insights + 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 PySpark, Hive and Scala + Proficient in MS Excel, PowerPoint + Good to have: + Experience with Tableau **Soft Skills:** + Ability to identify, clearly articulate and solve complex business problems and present them to the management in a structured and simpler form + Should have excellent communication and inter-personal skills + Strong process/project management skills + Ability to coach and mentor juniors + Contribute to organizational initiatives in wide ranging areas including competency development, training, organizational building activities etc. + Experience in Pyspark, SQL & Python + Experience in data visualization tools like Tableau + Data science and Machine learning concepts understanding and experience is a plus ------------------------------------------------------ **Job Family Group:** Decision Management ------------------------------------------------------ **Job Family:** Business Analysis ------------------------------------------------------ **Time Type:** Full time ------------------------------------------------------ **Most Relevant Skills** Please see the requirements listed above. ------------------------------------------------------ **Other Relevant Skills** For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ _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.