About this role
TTS Analytics C10
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 Analyst 2 (C10) 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
QUALIFICATIONS
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Experience:
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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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Must have:
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Identifying and resolving business problems (around sales/marketing strategy optimization, pricing optimization, client experience, cross-sell and retention) preferably in the financial services industry
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Leveraging and developing analytical tools and methods to identify patterns, trends and outliers in data
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Applying Predictive Modeling techniques for a wide range of business problems
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Working with data from different sources, with different complexities, both structured and unstructured
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Utilizing text data to derive business value by leveraging different NLP techniques
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Good to have:
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Experience working with data from different sources and of different complexity
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Skills:
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Analytical Skills:
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Proficient in formulating analytical methodology, identifying trends and patterns with data
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Has the ability to work hands-on to retrieve and manipulate data from big data environments
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Tools and Platforms:
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Proficient in Python/R, PySpark and related tools
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Experience in Hive
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Proficient in MS Excel, PowerPoint
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Good to have:
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Experience with PySpark
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Experience with Tableau
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Soft Skills:
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Strong analytical and problem-solving skills
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Excellent communication and interpersonal skills
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Be organized, detail oriented, and adaptive to matrix work environment
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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