JPMorgan Quant Analytics Lead-Vice President 

United States, New York, New York 

464040024

Job Responsibilities:

• Synthesize data from different sources to identify meaningful trends and patterns related to product usage and performance.

• Conduct comprehensive data analysis to assess product effectiveness, user engagement, and learning outcomes.

• Ensure data accuracy and reliability to support data-informed decision-making.

• Convert data to actionable insights and leverage data visualization tools to effectively present actionable insights to stakeholders.

• Partner with product managers, engineers, and UX designers to integrate data insights into product development and enhancement.

• Identify opportunities for process optimization and contribute to strategies that enhance product effectiveness and user experience.

• Communicate findings and recommendations to stakeholders, including Learn Product leadership, to drive strategic initiatives and improvements.

• Develop and maintain data tables for efficient storage and retrieval to ensure data integrity and consistency across platforms.

• Enhance data accessibility and improve efficiency by ensuring data flows with external platforms and APIs have seamless connectivity and synchronization between systems

Required qualifications, capabilities, and skills:

• BS degree in Data Science, Business Analytics, Computer Science, or related field and 5+ years of experience in advanced analytics, product management, or related role.

• Proficiency in data analysis tools such as Tableau, Microsoft Excel, and SQL.

• Experience with programming languages like Python for data manipulation and analysis.

• Strong analytical skills with the ability to interpret complex data sets and generate actionable insights.

• Basic data engineering skills, including data table development and management.

• Familiarity with API data connectivity and integration with external platforms.

• Excellent communication skills to convey data insights to stakeholders with varying technical knowledge.

• Ability to work collaboratively in a cross-functional team environment.

• Strong problem-solving skills and attention to detail.

• Experience or interest in data-driven product management and optimization.

• Robust relationship management, leadership, communication, and interpersonal skills

Preferred qualifications, capabilities, and skills:

• Experience in learning or education technology environment.

• Advanced degree in a related field