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    Business Analytics Analyst - Bengaluru, India - Citi

    Citi
    citi background
    Full time
    Description

    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 Analyst (C10) in the TTS Analytics team
  • The role will report to the AVP/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 and functional stakeholders
  • Qualifications

  • Bachelor's Degree with 3+ years of experience in data analytics or Masters Degree with 2+ years of experience in data analytics
  • Experience:

  • 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
  • Job Family Group:

    Decision Management

    Job Family:

    Business Analysis

    Time Type:

    Full time



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