What do we do?<ul><li>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.</li><li>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.</li></ul>ROLE DESCRIPTION<ul><li>The role will be Spec Analytics Intmd Analyst (C11) in the TTS Analytics team</li><li>The role will report to the AVP leading the team</li><li>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</li><li>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</li></ul>QUALIFICATIONSExperience:<ul><li>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.</li><li>Must have: <ul><li>Marketing analytics experience</li><li>Experience on business problems around sales/marketing strategy optimization, pricing optimization, client experience, cross-sell and retention</li><li>Experience across different analytical methods like hypothesis testing, segmentation, time series forecasting, test vs. control comparison etc.</li><li>Predictive modeling using Machine Learning</li><li>Experience with unstructured data analysis, e.g. call transcripts, using Natural language Processing (NLP)/ Text Mining</li></ul></li><li>Good to have:<ul><li>Experience in financial services</li><li>Experience working with data from different sources and of different complexity</li></ul></li></ul>Skills:Analytical Skills:<ul><li>Strong logical reasoning and problem solving ability</li><li>Proficient in converting business problems into analytical tasks, and analytical findings into business insights</li><li>Proficient in formulating analytical methodology, identifying trends and patterns with data</li><li>Has the ability to work hands-on to retrieve and manipulate data from big data environments</li></ul>Tools and Platforms:<ul><li>Proficient in Python/R, SQL</li><li>Experience in Hive</li><li>Proficient in MS Excel, PowerPoint</li><li>Good to have:<ul><li>Experience with PySpark</li><li>Experience with Tableau</li></ul></li></ul>Soft Skills:<ul><li>Ability to identify, clearly articulate and solve complex business problems and present them to the management in a structured and simpler form</li><li>Should have excellent communication and inter-personal skills</li><li>Strong process/project management skills</li><li>Ability to coach and mentor juniors</li><li>Contribute to organizational initiatives in wide ranging areas including competency development, training, organizational building activities etc.</li></ul>------------------------------------------------------<h2>Job Family Group: </h2>Decision Management------------------------------------------------------<h2>Job Family:</h2>Business Analysis------------------------------------------------------<h2>Time Type:</h2>Full time------------------------------------------------------<h2>Most Relevant Skills </h2>Please see the requirements listed above.------------------------------------------------------<h2>Other Relevant Skills </h2>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 <a href="https://www.citigroup.com/citi/accessibility/application-accessibility.htm" target="_blank">Accessibility at Citi</a>. View Citi’s <a href="https://www.citigroup.com/global/eeo-aa-policy" target="_blank">EEO Policy Statement</a> and the <a href="https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf" target="_blank">Know Your Rights</a> poster.

Marketing Analytics Analyst - Python, SQL and Machine Learning

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