Marketing Analytics Analyst - Python, SQL and Machine Learning

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 Intmd Analyst (C11) 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 5-8 years of experience in data analytics, or Master’s Degree with 4-8 years of experience in data analytics, or PhD. • 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 • Experience with unstructured data analysis, e.g. call transcripts, using Natural language Processing (NLP)/ Text Mining • Good to have: • Experience in financial services • Experience working with data from different sources and of different complexity 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 Hive • Proficient in MS Excel, PowerPoint • Good to have: • Experience with PySpark • 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. ------------------------------------------------------ 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.