- 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.
- 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
- 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
- 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
- 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
- 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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Business Analytics Analyst - Bengaluru, India - Citi
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Business Analysis
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