Quant Analytics Sr. Associate - Employee Experience

We are reimagining the future of work at JPMorgan Chase and building digital products that fundamentally change the way our employees interact with the firm. From engaging with content and building community, to accessing essential services, information, and tools - we are redefining what it means to work in the modern workplace. Our employee digital products are at the center of every employee's day and we're expanding our team focused on the digital employee experience.

As a Senior Associate, Digital Product Analytics in Employee Experience, you support the development and execution of data strategies that align with product development initiatives. Reporting to the Head of Employee Experience Analytics, this individual assists in analyzing data, supporting digital data collection frameworks, generating insights, and creating data visualizations to enhance product insights and employee experience across platforms.

Success in this position relies on a solid foundation in product analytics, the ability to craft insightful narratives from digital data, familiarity with data measurement systems, and a good understanding of the fundamentals of digital analytics. This individual will collaborate closely with Digital Product Owners and engineering teams, contributing to the integration of data-driven insights that support product features and improvements to the overall employee experience.

• Assist in crafting and presenting data-driven stories that integrate both digital and offline data sources to support product development and strategic decisions, ensuring stakeholders understand the impact of data on product performance.

• Contribute to the development of product insights for various audiences, leveraging both digital and offline data to provide a comprehensive view of product performance and user behavior.

• Support the optimization and implementation of analytics frameworks that encompass both digital and offline data collection, using tag management systems and other relevant tools to improve data accuracy and functionality.

• Collaborate with the engineering team to translate business goals into technical specifications, ensuring alignment with digital product strategies and operational needs, while considering the integration of offline data sources.

• Work closely with Digital Product Owners on product roadmap feature scoping and enhancements to ensure data-driven decisions shape user experience and product functionality, incorporating insights from both digital and offline data.

• Assist in documenting product requirements, defining acceptance criteria, and ensuring that technical implementation aligns with business objectives through data governance and hygiene practices, including the management of offline data sources.

• Facilitate collaboration among different business units to ensure that new features integrate well with existing systems and support the overall digital strategy, while also considering the impact of offline data.

• Contribute to the development of internal Business Intelligence capabilities to democratize data access and enhance organizational analytics maturity, enabling data-backed decision making that includes insights from both digital and offline data.

• Support cross-functional teams in planning and execute product features, optimizing the customer journey and product performance through strategic data collection and analysis that synthesizes both digital and offline data sources.

• Minimum 3-5 years of experience or equivalent expertise in analytics, with a focus on synthesizing and integrating both digital and offline data sources to derive insights.

• Proficient in using a variety of data analytics tools and platforms to collect, analyze, and report on data, with an emphasis on integrating diverse data sets to form a cohesive narrative.

• Experience with tag management systems and other data collection frameworks to ensure accurate and comprehensive data capture from multiple sources, both digital and offline.

• Familiarity with journey analytics tools that combine digital and non-digital data to understand the complete user journey is a plus.

• Basic knowledge of Virtual Assistants and measurement strategies to assess VA performance, with an understanding of how offline interactions can impact overall performance.

• Demonstrable skills in SQL, R, Python, or similar tools for data analysis, critical for joining and analyzing diverse data sets to drive insights and optimize product strategies.

• Strong communication skills, capable of transforming complex and varied data into insights; this role involves more than reporting - it's about weaving together data from multiple sources into narratives that support strategic decisions.

• Experience in product analytics within a technologically sophisticated environment, demonstrating the ability to support analytics teams and contribute to product strategies.

• Knowledge in creating and managing insightful, actionable dashboards and reports using business intelligence tools, enhancing decision-making and performance monitoring.

• Good organization skills, capable of handling multiple concurrent projects in a dynamic setting, and contributing to teams achieving digital excellence.