• As an Analyst you would be responsible to

• Team analyzes millions of customer level transactions using various data analytics techniques to unlock opportunities for our clients in meeting their financial needs and creating economic value for the bank.

• 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 Business Analytics Analyst 2, we are seeking an experienced analytics candidate who should be able to perform below behaviors in their day to day role:

• Client Obsession â€“ 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 â€“ 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 â€“ Proficiency in basic statistics, hypothesis testing, segmentation and predictive modeling.

• Stakeholder Management: Exposure to handling multiple stakeholders across various functions and regions.

• Presentation Skills : Delivering high class presentation to deliver the thoughts, the solutions or the problem for business stakeholders and senior management

• Project Management â€“ Should have skillset to manage project in terms of creating project plan, assigning responsibilities, and ensuring appropriate communication

• Ability to coach and mentor juniors

• Contribute to organizational initiatives in wide ranging areas including competency development, training, organizational building activities etc.

Skillsets you should possess

• Skillsets: SAS, Python, Hive

• Analytics experience in Financial Services industry in Marketing/ Digital/ Customer experience areas

• Familiarity with Credit cards and Banking business

• Experience in usage of different analytical techniques, like segmentation, predictive modeling, time series forecasting, hypothesis testing, optimization etc.

• Experience in working with data from different sources & of different complexity

Basic Qualifications

• Bachelor’s Degree with 3 years of experience in data analytics, or Master’s Degree with 2 years of experience in data analytics

• Hands-on experience in SAS, Python, Hive.

• Strong background in Statistical Analysis.

• Experience in working on Credit Cards and Retail Banking products

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