Data Analytics 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 Intmd Analyst (C11) 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 5-8 years of experience in data analytics, or Master’s Degree with 4-8 years of experience in data analytics, or PhD.
• Must have:
  • Marketing analytics experience
  • Experience on business problems around sales/marketing strategy optimization, pricing optimization, client experience, cross-sell and retention
  • 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
  • Experience working with data from different sources and of different complexity

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:

• Proficient in Python/R, SQL
• Experience in Hive
• Proficient in MS Excel, PowerPoint
• Good to have:
  • Experience with PySpark
  • Experience with Tableau

Soft Skills:

• Ability to identify, clearly articulate and solve complex business problems and present them to the management in a structured and simpler form
• Should have excellent communication and inter-personal skills
• Strong process/project management skills
• Ability to coach and mentor juniors
• Contribute to organizational initiatives in wide ranging areas including competency development, training, organizational building activities etc.

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