Product Solutions Associate: Healthcare Payments & Data Insights

JPMorganChase; Philadelphia (Philadelphia County); On-site; USD 70,000 - 110,000; Full time

Job summary

JPMorganChase in Philadelphia seeks a Product Solutions Associate in Healthcare Payments to support the sales cycle, coordinate projects, and analyze data to deliver impactful solutions. You will collaborate with Sales, Product Development, and Technical Client teams to discover solutions that meet client needs and strengthen our competitive position.

This role also requires effective communication in a matrixed environment and the ability to translate data insights into actionable proposals.

Qualifications

• 2+ years of experience or equivalent expertise applying problem-solving skills on a team within a cluster of products.
• Experience aggregating data to support analysis and report building.
• Demonstrated experience working in a highly matrixed and complex organization.
• Proficiency in Microsoft Word, Excel, and PowerPoint.

Responsibilities

• Supports team members to ensure deliverables meet customer requirements and provide value.
• Participates in strategic initiatives and coordinates on projects that contribute to the definition and configuration of our product offerings and capabilities.
• Coordinates with the team to understand and assess current state, data capabilities, and the delivery of strategic solutions.
• Aggregates the data needed to support the construction of pricing proposals and value analysis reports.

Skills

Problem-solving

Data analysis

Collaboration

MS Word

MS Excel

PowerPoint

Tools

Microsoft Word

Microsoft Excel

PowerPoint

Job description

JPMorganChase in Philadelphia seeks a Product Solutions Associate in Healthcare Payments to support the sales cycle, coordinate projects, and analyze data to deliver impactful solutions. You will collaborate with Sales, Product Development, and Technical Client teams to discover solutions that meet client needs and strengthen our competitive position.

This role also requires effective communication in a matrixed environment and the ability to translate data insights into actionable proposals.