Quant Analytics Manager -Digital_Marketing_Personalization

$133,000 - $205,000/Yr

JPMorgan Chase - Columbus, OH

Full-time - Senior

Columbus, OH

Credit Intermediation and Related Activities

About the position

As a Quant Analytics Manager in the Omnichannel Analytics team at JPMorgan Chase, you will play a pivotal role in transforming marketing strategies across digital channels into a hyper-personalized, data-driven model. This position requires a deep understanding of analytics tools and data assets to develop a strategic vision and roadmap for enhancing customer experiences through effective marketing analytics. You will collaborate with various stakeholders to drive business goals and improve personalization strategies across multiple channels.

Responsibilities

• Translate business requirements into measurable analytical plans.
• Develop and track channel performance KPIs, communicating findings to senior CCB leadership to improve personalization strategy.
• Build business-critical data capabilities like marketing attribution and tracking of cross-channel marketing touches for each customer.
• Report performance of campaigns to prioritize resources towards high-potential initiatives and identify impact of personalization efforts across channels.
• Identify areas of improvement in ad-level performance, delivering recommended optimizations to product owners and channel management.
• Provide recommendations on standard metrics to area product owners.
• Identify opportunities for a better digital user experience through studying customer journey on the mobile app.
• Work with the Personalization and insights team to identify gaps in the data capture strategy and implement enhancements.
• Collaborate with other teams to craft test measurement plans, interpret results, and present findings to senior management.

Requirements

• Bachelor's degree in a quantitative, analytical, or related field.
• 5+ years of experience in an advanced analytics role.
• Strong SQL knowledge, including complex queries; experience with relational databases and data prep to summarize large datasets.
• Experience with test experimental design and results analysis.
• Ability to develop advanced data visualization and presentations; strong storytelling skills for leadership.

Nice-to-haves

• Master's degree in related field.
• Advanced analytics experience with tools such as Alteryx, Tableau, Python, Power BI.
• Functional industry experience in marketing, operations, technology, or finance.

Benefits

• Comprehensive health care coverage
• On-site health and wellness centers
• Retirement savings plan
• Backup childcare
• Tuition reimbursement
• Mental health support
• Financial coaching