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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 role involves working on business problems across the client life cycle using big data tools and machine learning algorithms to build solutions.
Job Responsibility:
Work on multiple analyses through the year on business problems across the client life cycle – acquisition, engagement, client experience and retention – for the TTS business
Provide data driven insights to business and functional stakeholders
Leverage 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.)
Contribute to organizational initiatives in areas like competency development, training, and organizational building
Requirements:
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
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
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
Proficient in Python/R, SQL
Experience in Hive
Proficient in MS Excel, PowerPoint
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
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