AVP - Business Analytics - Pune - citi.com : Job Details

TTS Analytics C12

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 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 multiple analytical approaches, tools, and techniques, working on various 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:
  • Business 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.
  • Experience working with large datasets using technologies such as PySpark, Hive, Impala, SQL, etc.
• Good to have:
  • Experience in financial services.
  • Experience working with data from different sources and of different complexity.
  • Predictive modeling using Machine Learning.
  • Experience with unstructured data analysis, e.g. call transcripts, using Natural Language Processing (NLP)/Text Mining.

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.

Job Family Group: Decision Management

Job Family: Business Analysis

Time Type: Full time

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