Spec Analytics Analyst 2 (C10) Job at Citi (Pune)

Job Description

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.

Job Responsibility

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
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

Requirements

Bachelor’s Degree with 3+ years of experience in data analytics or Masters Degree with 2+ years of experience in data analytics
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
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
Strong analytical and problem-solving skills
Excellent communication and interpersonal skills
Be organized, detail oriented, and adaptive to matrix work environment

Nice to have

Experience working with data from different sources and of different complexity
Experience with PySpark
Experience with Tableau

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Spec Analytics Analyst 2 (C10)

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