Python Data Analytics Analytics

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 report to the AVP 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 3+ years of experience in data analytics or Masters Degree with 2+ years of experience in data analytics * 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 industry * Leveraging and developing analytical tools and methods to identify patterns, trends and outliers in data * Applying Predictive Modeling techniques for a wide range of business problems * Working with data from different sources, with different complexities, both structured and unstructured * Utilizing text data to derive business value by leveraging different NLP techniques * Good to have: * Experience working with data from different sources and of different complexity 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, PySpark and related tools * 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 \------------------------------------------------------ ## 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. View Citi’s EEO Policy Statement and the Know Your Rights poster.