AVP - Business Analytics

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 focuses on driving acquisitions, cross-sell, revenue growth & improvements in client experience by extracting relevant insights, identifying business opportunities, converting business problems into analytical frameworks, using big data tools and machine learning algorithms to build predictive models & other solutions, and designing go-to-market strategies for a wide variety of business challenges. As an Asst. Vice President (C12) in the TTS Analytics team, you will report to the VP or SVP leading the team. Your responsibilities will include working on multiple analyses throughout the year on business problems across the client life cycle - acquisition, engagement, client experience, and retention for the TTS business. This will involve leveraging various analytical approaches, tools, and techniques, and working on multiple data sources such as client profile & engagement data, transactions & revenue data, digital data, and unstructured data like call transcripts to provide data-driven insights to business and functional stakeholders. To qualify for this role, you should have a Bachelor's Degree with 7-10 years of experience in data analytics, or a Master's Degree with 6-10 years of experience in data analytics, or a PhD. You must have experience in business analytics, working on sales/marketing strategy optimization, pricing optimization, client experience, cross-sell, and retention. Experience across different analytical methods like hypothesis testing, segmentation, time series forecasting, and test vs. control comparison is essential. Proficiency in working with large datasets using technologies such as PySpark, Hive, Impala, and SQL is required. 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, PySpark, and SQL - Experience in Hive - Proficient in MS Excel and PowerPoint - Good to have: Experience with Tableau Soft Skills: - Ability to drive clear and comprehensive communication flow between business stakeholders and the team - Translate analytical findings into key insights and actionable recommendations - Ability to coach and mentor team members - Drive ideation on analytical projects to tackle strategic business priorities - Comfort working with ambiguity and open-ended questions - Strong process/project management skills - Contribute to organizational initiatives in competency development, training, and organizational building activities If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.,