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 •

will be Spec Analytics Intmd Analyst (C11) in the TTS Analytics team •

will report to the AVP leading the team •

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

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 •