What do we do?

　　The Retrospective Analytics (RA) team work on solving various business challenges using data as tool.

　　The Digital Enable and Servicing Analytics team within RA supports the business in identifying points of friction, creating recommendations to improve digital journeys and drive higher digital engagement and revenues while reducing customer servicing cost by focusing on following:

　　Deep dive analysis to identify points of friction in different digital journeys across web and app

　　Create actionable recommendations

　　Analytics support for Digital Usage team

　　Performance analytics and insight generation

　　Performance analysis for digital engagement & usage (mobile, digital, wallet, e-commerce)

　　Paperless enrollments and De-enrollments Insights

　　Understanding performance of servicing communications

　　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

　　This role will be heavily focused on analyzing and deep dives to improve digital and mobile usage and increase paperless enrollments.

　　What’s expected from you?

　　As a Digital Business Analyst, we are seeking an analytics professional 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 – Work on 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

　　Presentation Skills : Delivering high class presentation to deliver 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, and ensuring appropriate communication

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

　　Skillset required:

　　The most important skill that our analyst should possess is their love for data, eagerness for new challenges & ability to leverage analytics to solve structured or unstructured problems and interpreting results Apart from these, they should also have the following skillset

　　2-5 years of experience in Analytics - Demonstrated evidence of solving business problems through well-structured analysis

　　Work experience on supervised, unsupervised machine learning algorithms. For e.g.: linear and bayesian regressions, multi objective optimization techniques, classifiers, cluster analysis etc.

　　Advanced level programming in SQL and Python/Pyspark

　　Hands-on experience in analyzing and visualizing data using tools such as Tableau, Adobe or Google Analytics

　　In depth understanding of analytics in CRM, Marketing and Financial Services

　　Excellent presentation and communication skills

　　Understanding of techniques like Market Mix Modelling, Price Elasticity models etc.

　　Decision Management

　　Specialized Analytics (Data Science/Computational Statistics)

　　Full time

　　Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

　　Citigroup Inc. and its subsidiaries ("Citi”) invite all qualified interested applicants to apply for career opportunities. 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 (https://www.citigroup.com/citi/accessibility/application-accessibility.htm) .

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　　Citi is an equal opportunity and affirmative action employer.

　　Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.