CitiEmployer profile
AVP - Business Analytics- Citi Retail Services- C12(Hybrid)
Location not specified · 200–83.3 yrs
Experience- 200–83.3 yrs
Salary- Not disclosed
Location- Location not specified
- Work mode
- Not specified
- Job type
- Full-time
Apply by- Closing date not listed
- Posted
- 13 May 36
About this role
Job Id: 23707341About Citi
Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have 200 years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities.
ANALYTICS AND INFORMATION MANAGEMENT (AIM)
Citi AIM was established in 2003 and is located across multiple cities in India – Bengaluru, Chennai, Pune and Mumbai. It is a global community that objectively connects and analyzes information to create actionable intelligence for our business leaders. It identifies fact-based opportunities for revenue growth in partnership with the businesses. The function balances customer needs, business strategy, and profit objectives using best in class and relevant analytic methodologies.
What do we do?
The North America Consumer Bank data analytics team works on solving various business challenges using data as tool. The team extracts relevant insights, identifies business opportunities and converts business problems into analytical framework, implements solutions and designs go-to-market strategies for a huge variety of business problems.
The team supports the business in driving high revenues and better customer experience by focusing on following:
- Customer lifecycle management: Design and implement strategies to improve customer experience and drive revenue, spanning across all 3 stages of customer lifecycle – acquisition, ECM and Retention
- Offer optimization: Design, test and implement innovative and customer-centric offers tailored to drive customer delight and grow engagement
- Digital: Trace customer’s digital journey with Citi, design strategies to make digital experience more engaging and drive revenue through digital channels
- Revenue/Financial forecasting: Design, maintain and enhance P&L forecasting for all products & portfolios, ensure strict adherence to accounting standards and accurate forecasting techniques to help product managers plan better
What’s expected from you?
As a principal Analyst, we are seeking an experienced analytics candidate who should be able to perform below behaviors in their day to day role:
- Client Obsession – Create client centric analytic solution to business problems. Individual should be able to have a holistic view of multiple businesses and develop analytics solutions accordingly.
- Analytic Project Execution – Own and deliver multiple and complex analytic projects. This would require an understanding of business context, conversion of business problems in modeling, and implementing such solutions to create economic value.
- Statistical mind set – Proficiency in basic statistics, hypothesis testing, segmentation and predictive modeling.
- Stakeholder Management: Experience in stakeholder management across various functions and regions.
- Presentation Skills : Delivering high class presentations to share the thoughts, the solutions or the problem for business stakeholders and senior management
- Project Management – Should have skillset to manage project in terms of creating project plan, assigning responsibilities
- People Management – Should be prepared and proactive in gaining full understanding of your people’s performance, with ability to engage in honest, robust conversations and encouraging people to take personal responsibility for their own development
- Strategic acumen – Should possess ability to see the big picture of business, identify and understand emerging trends, challenge status quo and design goals for growth
- Ability to coach and mentor juniors.
The most important skill that our analyst should possess is their love for data and their eagerness for new challenges & solving new problems. Apart from these, they should also have the following skillset
Basic Qualifications
- Master’s /MCA or Bachelor’s degree in Engineering / Technology / computer science from premier institutes with 9-10 years of experience in delivering analytical solutions and Managing teams.
- Hands-on experience in SAS and SQL required
- Experience working with large and multiple datasets, data warehouses and ability to pull data using relevant programs and coding.
- Strong background in Statistical Analysis.
- Experience in working on Credit Cards and Retail Banking products
- Experience in Python, Pypark programing
- Machine Learning & Statistical Modeling experience
- Experience on working in P&L Forecasting, Product Pricing, Acquisition Strategy projects
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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