Intmd Analyst, Business Analysis

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. The role of Business Analytics Intmd Analyst (C11) in the TTS Analytics team involves working on multiple analyses throughout the year on business problems across the client life cycle - acquisition, engagement, client experience, and retention for the TTS business. This will require leveraging multiple analytical approaches, tools, and techniques, working on various data sources such as 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: - Bachelors Degree with 5-8 years of experience in data analytics, or Masters 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. - 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. - Excellent communication and interpersonal 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.,