Business Analyst

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 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

QUALIFICATIONS

Experience:

• Bachelor’s Degree with 3+ years of experience in data analytics or Masters Degree with 2+ years of experience in data analytics
• Must have:
  • Identifying and resolving business problems (around sales/marketing strategy optimization, pricing optimization, client experience, cross-sell and retention) preferably in the financial services industry
  • Leveraging and developing analytical tools and methods to identify patterns, trends and outliers in data
  • Applying Predictive Modeling techniques for a wide range of business problems
  • Working with data from different sources, with different complexities, both structured and unstructured
  • Utilizing text data to derive business value by leveraging different NLP techniques

• Good to have:
  • Experience working with data from different sources and of different complexity

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, PySpark and related tools
• 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