Citi is Hiring Business Analytics Analyst
Treasury & Trade Services (TTS) Analytics • Bengaluru
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Job Overview
Citi is hiring a Business Analytics Analyst for its Treasury & Trade Services (TTS) Analytics team in Bengaluru. The role focuses on delivering data-driven insights to support business growth, pricing optimization, customer acquisition, cross-selling, and client retention.
Candidates with experience in data analytics, predictive modeling, Python, SQL, and working with structured and unstructured datasets can explore this opportunity. Financial services experience and knowledge of natural language processing (NLP) are particularly relevant to help solve complex business challenges.
This opportunity is ideal for candidates searching for:
- Citi Business Analytics Analyst jobs in Bengaluru
- Predictive Modeling & NLP Data Analytics Roles
- Jobs requiring Python, SQL, and PySpark
- Business Intelligence jobs in the Financial Services domain
Key Responsibilities
The Business Analytics Analyst will work on analytical projects across the client lifecycle, including acquisition, engagement, client experience, and retention. Responsibilities include:
- Analyze business challenges related to sales, marketing, pricing, and client experience.
- Identify opportunities to improve customer acquisition, cross-selling, revenue growth, and retention.
- Develop analytical frameworks to solve business problems efficiently.
- Retrieve, manipulate, and analyze data from multiple sources.
- Identify patterns, trends, and outliers in large datasets.
- Apply predictive modeling techniques to business challenges.
- Use NLP techniques to extract insights from text data, such as call transcripts.
- Develop data-driven recommendations for business and functional stakeholders.
- Work with complex structured and unstructured datasets.
- Support analytical initiatives across the Treasury & Trade Services business.
Skills & Technologies
Core Technical Skills
Data & Analytics Capabilities
Professional Skills
- Strong analytical and problem-solving abilities.
- Excellent communication and interpersonal skills.
- High attention to detail and strong organizational skills.
- Ability to adapt to a matrix-based working environment.
Eligibility & Preferences
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Education Requirement: Bachelor's or Master's degree.
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Experience Required: At least 3 years of experience in data analytics for Bachelor's degree holders, or at least 2 years of experience for Master's degree holders.
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Preferred Qualifications: Experience with PySpark and related tools, Hive, Tableau, and financial services background. Ability to handle multiple data sources and complex datasets.
How to Apply
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You will be redirected to the official careers website. Search for Job ID 261000944 if required.
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Ensure your resume highlights your Python, SQL, Predictive Modeling, and Business Analytics experience before submitting.
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