Business Analytics Analyst

Job Description

TTS Analytics 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.
  
  

• The role will be Spec 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
  
  

• 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.
• Must have:
• Experience across different analytical methods like hypothesis testing, segmentation, time series forecasting, test vs. control comparison etc.
• Comfortable with data analysis, insight generation and consulting.
• 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
• Institutional banking 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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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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