Business Analytics with Python and SQL

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/R, 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
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Job Family:Business Analysis
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Time Type:Full time
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Most Relevant Skills Please see the requirements listed above.
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Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.
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