Business Analytics Manager

Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact.

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 leading a team of analysts
• 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
• Building and managing high performance teams
• Ability to coach and mentor team members 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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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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