Specification Analytics Intermediate Analyst - Bank

We are hiring a Machine learning Engineer for a leading bank

ROLE DESCRIPTION

- The role will be Spec Analytics Intmd Analyst in the TTS Analytics team

- The role will report to the AVP or the 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 partners and functional stakeholders

- This role will be a key contributor to ideation on analytical projects to tackle strategic business priorities

- The role will require endless curiosity, as ambiguity and open-ended questions are a core part of the team's work

QUALIFICATIONS

Experience:

- Bachelor's Degree with 5-8 years of experience in data analytics, or Masters Degree with 4-8 years of experience in data analytics, or a PhD in a relevant subject.

Must have substantial experience in:

- 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:

- Strong logical reasoning and problem solving ability

- Proficient in converting business problems into analytical tasks, and analytical findings into business insights

- 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:

- Expert knowledge in Python, PySpark and related tools

- Experience in Hive

- Proficient in MS Excel, PowerPoint

Good to have:

- Experience with PySpark

- Experience with Tableau