Quant Analytics Manager Digital Analytics

Job Summary:

As a Quant Analytics Manager on the Digital Analytics team you support an extensive portfolio of digital products by using data to provide recommendations that enhance the customer experience and build long term profitable customer this role you will be the driver of the analytics book of work that is transforming Chases cross-channel cross-line of business strategy to a hyper-personalized data-driven customer centric model.

Your expertise in digital data and analytical thought leadership will be used to help define OKRs develop and measure A/B testsscope strategic analytical questions and create analytical plans providing insights to drive outcomesfor Chases 75 million digital customers.You will be responsible for delivering actionable analysis in clear and compelling terms while building relationships with Digital Product Tech Design Strategy and ideal candidate should be self-driven and independent motivated to establish and grow a platform to push the business forward.

Job Responsibilities:

• Data Storytelling: Analyze and visualize digital customer behaviors to craft compelling narratives that drive insights and action.
• OKR Management: Lead the creation iteration reporting and causal analysis of OKRs to track and achieve strategic goals.
• Data-Driven Decision Making: Foster data-informed decisions and experimentation by establishing strategic partnerships promoting best practices and ensuring clear communication.
• Opportunity Identification: Develop OKRs and conduct deep-dive analyses to uncover opportunities for driving Digital CSAT Engagement and Deepening
• Consultation: Serve as a subject matter expert in Digital data providing consultation to the broader Data & Analytics organization.

Required:

• 7 years of experience analyzing customer experiences digital products/usage
• Proven track record of problem-solving using data and building new analytics for translating numbers into an actionable story for business leaders
• Superior written oral communication and presentation skills with experience communicating concisely and effectively with all levels of management and partners
• Experience in querying big data platforms and SAS/SQL
• Experience with digital analytics
• Bachelors degree is required (preferred in data science mathematics statistics econometrics engineering or related fields).

Preferred:

• Experience with analytical tools such as Python R Alteryx Tableau and Adobe Analytics
• Experience working with Big Data environments (i.e. Snowflake AWS)
• Experience with A/B testing