Analytics Solutions Delivery Manager

JPMorgan Chase

New York, NY

Full Time

Senior

21 days ago

Job Description

About the Role

Join us in shaping the future of employee experience by leveraging data to enhance product effectiveness and deliver exceptional learning experiences. As a Quant Analytics Lead on the HR Employee Experience Product Team, you'll lead product analytics to enhance learning solutions and drive business value. You'll harness your passion about using data to generate insights and improve learning products. You'll need to become a great partner to stakeholders and collaborate with cross-functional teams to ensure our solutions are data-driven and optimized for user engagement.

Key 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.

Requirements

BS degree in Data Science, Business Analytics, Computer Science, or related field.
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.