Marketing Analytics Analyst - Python, SQL and Machine Learning

Citi; New York (NY); Hybrid; USD 16,000 - 22,000; Full time

Job summary

Citi is hiring a Marketing Analytics Analyst to leverage Python, SQL and ML techniques to extract insights across the client lifecycle. The role involves balancing multiple analyses, coordinating with product and sales teams, and delivering data-driven recommendations.

The ideal candidate has extensive experience in marketing analytics, predictive modeling, NLP on unstructured data, and the ability to present complex results clearly to stakeholders. This is a hybrid role based in Pune, India.

Qualifications

• Bachelor’s degree with 5–8 years in data analytics, or Master’s with 4–8 years, or PhD.
• Marketing analytics experience and sales/marketing optimization exposure.
• Predictive modeling using Machine Learning and NLP/text mining with unstructured data.

Responsibilities

• Analyze client lifecycle stages: acquisition, engagement, experience and retention.
• Translate business problems into analytical frameworks and data driven insights.
• Work with multiple data sources to inform stakeholders and go-to-market strategies.

Skills

Analytical thinking

Communication

Problem solving

Project management

Mentoring

Education

Bachelor’s Degree in a quantitative field

Master’s Degree in a quantitative field

PhD in a quantitative field

Tools

Python

R

SQL

Hive

Tableau

PySpark

Excel

PowerPoint

Job description

Marketing Analytics Analyst - Python, SQL and Machine Learning

Job Req Id:

26988543

Location(s):

Pune, Maharashtra, India

Job Type:

Hybrid

Posted:

Sep. 17, 2026

Discover your future at Citi

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Job Overview

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

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.

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.

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

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