TTS Business Analytics Analyst - C10

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
 The role will be Business Analytics Analyst 2 (C10) in the TTS Analytics team
 The role will report to the AVP leading the team
 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
 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

QUALIFICATIONS

Experience:
 Bachelors Degree with 3+ years of experience in data analytics, or Masters Degree with 2+ years of experience in data analytics, or PhD.
 Must have:
 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
 Good to have:
 Experience in financial services
 Digital Marketing and/or Digital Experience domain knowledge

Skills:

Analytical Skills:
 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

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:
 Strong analytical and problem-solving skills
 Excellent communication and interpersonal skills
 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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