Marketing Analytics Analyst - Python, SQL and Machine Learning

Citi; Maharashtra; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Citi India is seeking an experienced Spec Analytics Intmd Analyst to join the TTS Analytics team in Mumbai. You will work on data-driven insights spanning client acquisition, engagement, and retention across the client lifecycle.

You'll handle multiple data sources—profile, transactions, digital, and unstructured data like transcripts—and apply various analytical methods, including hypothesis testing, time series forecasting, and predictive modeling.

Qualifications

• 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

Responsibilities

• 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

Skills

Marketing analytics

Sales/marketing strategy optimization

Pricing optimization

Client experience

Cross-sell and retention

Hypothesis testing

Segmentation

Time series forecasting

Predictive modeling

NLP / Text Mining

Data-driven decision making

Education

Bachelor’s degree in a quantitative field

Master’s degree in data analytics

PhD in a related field

Tools

Python

R

SQL

Hive

Tableau

PySpark

MS Excel

PowerPoint

Job 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 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
  
  
  
  

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.

Job Family Group

Decision Management

Job Family

Business Analysis

Time Type

Full time

Most Relevant Skills

Please see the requirements listed above.

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