Role at a glance
- Job function
-
AI & Data Data Science
- Salary
- Not Disclosed
- Location
- Gurugram Haryana India
- Work arrangement
- Hybrid
- Employment
- Full-time
- Experience
- Bachelor’s Degree with 3+ years of experience in data analytics or Masters Degree with 2+ years of experience in data analytics
- Education
- Bachelor’s Degree with 3+ years of experience in data analytics or Masters Degree with 2+ years of experience in data analytics
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Role Summary
The Business Analytics Analyst works in the TTS Analytics team on business analyses across the client life cycle, including acquisition, engagement, client experience, and retention. The role uses multiple analytical approaches and data sources to develop data-driven insights for business and functional stakeholders.
What You'll Do
- Conduct analyses of TTS business problems across acquisition, engagement, client experience, and retention.
- Use analytical approaches, tools, and techniques with client profile and engagement, transaction and revenue, digital, and unstructured...
- Provide data-driven insights to business and functional stakeholders.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Required: Identify and resolve business problems related to sales/marketing strategy optimization, pricing optimization, client experience, cross-sell, and retention; leverage and develop analytical tools and methods to identify data patterns, trends, and outliers; apply predictive modeling techniques; work with complex data from different sources, including structured and unstructured data; use NLP techniques to derive business value from text data. Skills include formulating analytical methodology, hands-on data retrieval and manipulation in big data environments, proficiency in Python, PySpark and related tools, experience with Hive, proficiency in MS Excel and PowerPoint, strong analytical and problem-solving skills, communication and interpersonal skills, and being organized, detail oriented, and adaptive in a matrix work environment.
Preferred
- Experience in the financial services industry is preferred for business problem-solving work.
- Experience working with data from different sources and of different complexity.
- Experience with PySpark.
- Experience with Tableau.
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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
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, 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
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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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About the company
Citi
Large Enterprise
Citi is a global financial services corporation that offers a wide range of financial products and services, including consumer banking, credit, investment banking, and wealth management. With a presence in nearly 100 countries, Citi serves millions of customers, from individuals and small businesses to large corporations and governments. The company is dedicated to innovation and sustainability, actively working to support economic growth while addressing environmental and social challenges. Citi’s commitment to providing exceptional service and fostering diverse talent makes it a prominent choice for students aspiring to build a career in finance and banking.