Citi Group Digital Analytics Adobe / Sitecat C10 

India, Karnataka, Bengaluru 

29478321

The Digital Servicing Analytics team within DPA 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

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

• 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– Shouldhaveskillset to manage project in terms of creating project plan, assigning responsibilities, and ensuring appropriate communication
• Contribute to organizational initiativesin 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 resultsApart 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

Education:

• Bachelors/University degree or equivalent experience

Time Type:

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