TTS - Business Analytics Int Analyst - C11

Posted:
8/27/2024, 6:11:19 PM

Location(s):
Karnataka, India ⋅ Bengaluru, Karnataka, India

Experience Level(s):
Junior ⋅ Mid Level ⋅ Senior

Field(s):
Business & Strategy ⋅ Data & Analytics

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 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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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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