What do we do?
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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.
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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
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The role will be Spec Analytics Analyst 2 (C10) in the TTS Analytics team
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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
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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:
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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.
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Must have:
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Marketing analytics experience
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Experience across different analytical methods like hypothesis testing, segmentation, time series forecasting, test vs. control comparison etc.
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Predictive modeling using Machine Learning
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Experience with unstructured data analysis, e.g. call transcripts, using Natural language Processing (NLP)/ Text Mining
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Good to have:
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Experience in financial services
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Digital Marketing and/or Digital Experience domain knowledge
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Skills:
Analytical Skills:
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Proficient in formulating analytical methodology, identifying trends and patterns with data
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Has the ability to work hands-on to retrieve and manipulate data from big data environments
Tools and Platforms:
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Proficient in Python/R, SQL
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Experience in Hive
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Proficient in MS Excel, PowerPoint
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Good to have:
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Experience with PySpark
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Experience with Tableau
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Soft Skills:
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Strong analytical and problem-solving skills
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Excellent communication and interpersonal skills
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Be organized, detail oriented, and adaptive to matrix work environment
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Job Family Group:
Decision Management
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Job Family:
Business Analysis
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Time Type:
Full time
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