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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 role involves leveraging analytical methods and tools, working on big data and providing actionable insights across multiple business problems.
Job Responsibility:
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
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
Requirements:
Bachelor’s Degree with 3+ years of experience in data analytics, or Master’s Degree with 2+ years of experience in data analytics, or PhD
Marketing analytics experience
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
Proficient in Python/R, SQL
Experience in Hive
Proficient in MS Excel, PowerPoint
Strong analytical and problem-solving skills
Excellent communication and interpersonal skills
Be organized, detail oriented, and adaptive to matrix work environment
Nice to have:
Experience in financial services
Digital Marketing and/or Digital Experience domain knowledge
Experience with PySpark
Experience with Tableau
What we offer:
Equal opportunity employer
Accessibility options for persons with disabilities
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