Spec Analytics Intmd Analyst
2 weeks ago
TTS Analytics C11
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 AI/ML techniques to drive data driven business outcomes in collaboration with business and product partners.ROLE DESCRIPTION
The role will be Spec Analytics Intmd Analyst (C11) 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 workQUALIFICATIONS
Experience:
Bachelor’s Degree with 6-8 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 industryUtilizing text data to derive business value by leveraging different NLP techniques (mid to expert level prior experience is a must)Leveraging and developing analytical tools and methods to identify patterns, trends and outliers in dataApplying Predictive Modeling techniques for a wide range of business problemsWorking with data from different sources, with different complexities, both structured and unstructured Good to have:Experience working with data from different sources and of different complexityPrior working experience in Customer experience domain (Analysis involving deep dive into CSAT, NPS, Survey feedbacks etc.)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 environmentsTools and Platforms:
Expert knowledge in Python, PySpark and related tools Experience in Hive Proficient in MS Excel, PowerPoint Good to have:Experience with PySparkExperience with Tableau------------------------------------------------------
Job Family Group:
Decision Management------------------------------------------------------
Job Family:
Specialized Analytics (Data Science/Computational Statistics)------------------------------------------------------
Time Type:
Full time------------------------------------------------------
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