Treasury and Trade Services Analytics

Citigroup Inc.; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Citigroup Inc. is seeking a Spec Analytics Analyst 2 (C10) in Bengaluru to drive data-driven insights across client life cycle—acquisition, engagement, and retention—using Python/R, PySpark, and NLP techniques.

You will work with diverse data sources to solve business problems in Treasury & Trade Services. The ideal candidate has 3+ years of analytics experience with a relevant degree, strong communication, and a hands-on approach to big data environments.

Qualifications

• Bachelor’s or Master’s degree with analytics experience as stated.
• Identify and resolve business problems (sales/marketing strategy, pricing, cross-sell, retention) in financial services.
• Leverage analytical tools to identify patterns, trends and outliers in data.
• Apply predictive modeling techniques for diverse business problems.
• Work with structured and unstructured data from multiple sources.
• Utilize text data with NLP techniques for business value.

Responsibilities

• Perform analyses across client life cycle—acquisition, engagement, experience and retention.
• Translate business problems into analytical frameworks and deliver data-driven insights.
• Collaborate with stakeholders using multiple data sources (profiles, transactions, digital data, transcripts).

Skills

Analytical skills

Data retrieval & manipulation

Education

Bachelor's degree + 3+ years in analytics

Master's degree + 2+ years in analytics

Tools

Python/R

PySpark

Hive

MS Excel

PowerPoint

Tableau

Job description

TTS Analytics C10

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
  
  
  
  

Job Family Group:

Decision Management

Job Family:

Business Analysis

Time Type:

Full time

Most Relevant Skills

Please see the requirements listed above.

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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