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 ------------------------------------------------------

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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