Predictive Analytics Analyst - Python, PySpark

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
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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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