The TTS Business Analytics Senior Analyst will analyze business problems, leveraging big data tools and machine learning to derive business insights related to client acquisition, engagement, experience, and retention. The analyst will engage in various analytical approaches to enhance strategy and optimize pricing and marketing.
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 Asst. Vice President (C12) in the TTS Analytics team
- The role will report to the VP or SVP 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 7-10 years of experience in data analytics, or Master’s Degree with 6-10 years of experience in data analytics, or PhD.
- Must have:
- Marketing analytics experience
- Experience on business problems around sales/marketing strategy optimization, pricing optimization, client experience, cross-sell and retention
- Experience across different analytical methods like hypothesis testing, segmentation, time series forecasting, test vs. control comparison etc.
- Predictive modeling using Machine Learning
- Experience with unstructured data analysis, e.g. call transcripts, using Natural language Processing (NLP)/ Text Mining
- Good to have:
- Experience in financial services
- Experience working with data from different sources and of different complexity
Skills:
Analytical Skills:
- Ability to understand complex business problems, break them down into simpler solvable parts and develop analytical approaches to tackle them
- Strong logical reasoning and problem-solving ability
- Proficient in converting business problems into analytical tasks, and analytical findings into business insights
- Proficient in identifying trends and patterns with data
Tools and Platforms:
- Proficient in Python/R, SQL
- Experience in Hive
- Proficient in MS Excel, PowerPoint
- Good to have:
- Experience with PySpark
- Experience with Tableau
Soft Skills:
- Ability to drive clear and comprehensive communication flow between business stakeholders and the team and vice versa, translating analytical findings into key insights and actionable recommendations
- Ability to coach and mentor other members in the team on an ongoing basis
- Ability to drive ideation on analytical projects to tackle strategic business priorities
- Comfort on working with ambiguity and open-ended questions
- Strong process/project management skills
- Contribute to organizational initiatives in wide ranging areas including competency development, training, organizational building activities etc.
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Job Family Group:
Decision Management
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Job Family:
Business Analysis
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Time Type:
Full time
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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
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Citi Chennai, Tamil Nadu, IND Office
C P Ramaswamy Road, Chennai, Tamil Nadu, India, 600018
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