Description

Key Skills: Python, Data Analytics, Predictive Modeling, Machine Learning, PySpark, NLP, Hive, Business Analysis, Financial Services

Good to Have Skills: Experience with PySpark, Tableau, working with data from different sources and of different complexity, R programming, MS Excel, PowerPoint proficiency.

Roles & Responsibilities:

• Work on multiple analyses throughout the year on business problems across the client life cycle including acquisition, engagement, client experience and retention for the TTS business.
• Leverage multiple analytical approaches, tools and techniques to work on multiple data sources including client profile and engagement data, transactions and revenue data, digital data, and unstructured data like call transcripts.
• Provide data driven insights to business and functional stakeholders by extracting relevant insights and identifying business opportunities.
• Convert business problems into analytical frameworks and use big data tools and machine learning algorithms to build predictive models and other solutions.
• Design go-to-market strategies for a variety of business problems focused on driving acquisitions, cross-sell, revenue growth and improvements in client experience.
• Apply predictive modeling techniques for a wide range of business problems including sales and marketing strategy optimization, pricing optimization, and client retention.
• Utilize text data to derive business value by leveraging different natural language processing techniques.
• Work hands-on to retrieve and manipulate data from big data environments while formulating analytical methodology and identifying trends and patterns.

Experience Required: Bachelor's Degree with 3+ years of experience in data analytics or Masters Degree with 2+ years of experience in data analytics, preferably in the financial services industry.

Education: Bachelor's Degree or Master's Degree required

Key Skills

Education

Any Graduate