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 Business Analytics Analyst 2 (C10) in the TTS Analytics team
- The role will report to the AVP 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 3+ years of experience in data analytics, or Master’s Degree with 2+ years of experience in data analytics, or PhD.
- Must have:
- Marketing analytics experience
- 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
- Digital Marketing and/or Digital Experience domain knowledge
Skills:
Analytical Skills:
- 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:
- Proficient in Python/R, SQL
- Experience in Hive
- Proficient in MS Excel, PowerPoint
- Good to have:
- Experience with PySpark
- Experience with Tableau
Soft Skills:
- Strong analytical and problem-solving skills
- Excellent communication and interpersonal skills
- Be organized, detail oriented, and adaptive to matrix work environment
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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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Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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What We Do
Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients. We have 200 years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities. We are Citi, the global bank – an institution connecting millions of people across hundreds of countries and cities.
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