Specification Analytics Intermediate Analyst - Bank (5-8 yrs)
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
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