Spec Analytics Intmd Analyst

TTS Analytics C11

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 AI/ML techniques to drive data driven business outcomes in collaboration with business and product partners.

ROLE DESCRIPTION

• The role will be Spec Analytics Intmd Analyst (C11) in the TTS Analytics team
• The role will report to the AVP or the VP 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 partners and functional stakeholders
• This role will be a key contributor to ideation on analytical projects to tackle strategic business priorities
• The role will require endless curiosity, as ambiguity and open-ended questions are a core part of the team’s work

QUALIFICATIONS

Experience:

• Bachelor’s Degree with 6-8 years of experience in data analytics, or Masters Degree with 4-8 years of experience in data analytics, or a PhD in a relevant subject.
• Must have substantial experience in:
  • Identifying and resolving business problems (around sales/marketing strategy optimization, pricing optimization, client experience, cross-sell and retention) preferably in the financial services industry
  • Utilizing text data to derive business value by leveraging different NLP techniques (mid to expert level prior experience is a must)
  • 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

• Good to have:
  • Experience working with data from different sources and of different complexity
  • Prior working experience in Customer experience domain (Analysis involving deep dive into CSAT, NPS, Survey feedbacks etc.)

Skills:

Analytical Skills:

• Strong logical reasoning and problem solving ability
• Proficient in converting business problems into analytical tasks, and analytical findings into business insights
• 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:

• Expert knowledge in Python, PySpark and related tools
• Experience in Hive
• Proficient in MS Excel, PowerPoint
• Good to have:
  • Experience with PySpark
  • Experience with Tableau

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