Quant Analytics Analyst – Digital Analytics – Cards
Company Name:-
JPMorgan Chase Bank, N.A.
Job Location:-
Bengaluru, Karnataka
Job Summary:-
Key Responsibilities
The main responsibility of this role will be to lead the expansion of Analytics for the Credit Journey Product under the Chase.
com domain.
The role will include the following.
Increase Engagement and Enrollment: Manage data driven strategies to drive the growth of Credit Journey and its use through innovative product features, content initiatives, and marketing/communication efforts.
Develop real-time and monthly refreshed performance dashboard with digital KPIs and tracking metrics across traffic, conversion, etc.
Campaign Performance: Optimize and measure effectiveness of campaigns through Emails, Paid Search and Programmatic Display/Video.
Targeting and Testing: Deploy the CJ data to improve targeting for various marketing initiatives.
Lead the strategy for offer testing, hypothesis development, data analysis, generating insights and present findings.
Improve Customer Digital Experience in CJ: Track and evaluate the impact of changes in Page Designs and Navigation.
Expand Credit Journey Data Infrastructure: Innovate, Architect and design to put the data to use to grow the Chase Business through Acquisitions and increased Product Usage.
Collaborate with development teams to automate and combine data across product and channel
Personalize Digital Journey: Use data to strategize, implement and track customized Ads to increase engagement on our internal platforms leveraging Machine Learning capabilities.
Qualifications
2-4 Years of experience
Experience doing hands on data analysis using SQL/SAS/Python/Hive.
Self-sufficiency in querying and extracting data from Enterprise databases (Teradata, etc) , Hadoop platforms or AWS/Azure.
At least 1 year experience in handling Digital Data or Clickstream Data.
Experience with Adobe Analytics or similar tools like Adobe Insights/Site Catalyst, Google Analytics.
Understanding of digital data architecture and work flows
Ability to manage multiple priorities in a fast-paced, agile business environment.
Nice-to-have quantitative/technical skills:
Digital Testing on Adobe Target or similar tools
Modeling/Segmentation using Machine Learning (GLM, Gradient Boosting, etc), Decision Trees/Random Forest, Deep Learning
Basic JavaScript and using Tag Management
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