Senior Analytics Designer

Description

About Aspirion

At Aspirion, our mission is simple and meaningful: to help healthcare providers get paid accurately, quickly, and transparently for the care they deliver. By combining deep human expertise with advanced technology and AI, we are helping make healthcare more affordable and accessible for everyone.

For more than two decades, Aspirion has been a market leader in revenue cycle services, specializing in some of the most complex and high impact areas of reimbursement. From challenging denials and zero balance reviews to aged accounts receivable, motor vehicle accident claims, workers’ compensation, Veterans Affairs, and out of state Medicaid, we take on the work that others cannot solve and deliver real results for our clients.

At the heart of that success is our team. Our teammates are the foundation of everything we do. With more than 1,400 individuals across the organization, we are united by a shared commitment to delivering exceptional outcomes and creating meaningful impact for the hospitals and health systems we serve.

We are building a results driven environment where high performance, collaboration, and continuous growth are expected and supported. The people who thrive here bring a growth mindset, stay open to new technology, and collaborate across teams to solve problems. You will have the opportunity to work alongside a talented and driven team, engage with innovative technology, and play a direct role in solving complex challenges that matter.

Joining Aspirion means more than taking a job. It means being part of a team that is shaping the future of healthcare operations while making a measurable difference for providers and patients alike.

We are looking for a BI Analytics Experience Designer to own how that information reaches the people who act on it. The work spans frontline operational dashboards used to manage daily workflow and executive-level reporting used to steer the business, and the design challenge is fundamentally different for each. This is a full-partner role in discovery and delivery, and success is measured against whether work drove a decision or changed how someone works, not whether something was built and shipped.

This includes participating in discovery alongside the Product Manager, designing and iterating against real user feedback, and tracking adoption after delivery to confirm the work is doing what it was built to do.

• Discovery Partnership: Join discovery sessions alongside the BI Product Manager when the consumption experience is central to defining the problem. Observe how users interact with data in their actual environment, contribute a user experience perspective before solutions are attached to problems, and push back when a proposed direction is technically solvable but experientially wrong.
• Experience Design: Own information hierarchy, navigation, visualization selection, and layout across BI reporting products. Make and defend design decisions based on the decision the report needs to enable, not aesthetic preference. Align with the Analytics Developer on data availability before making design commitments.
• User and Audience Understanding: Maintain working knowledge of both primary consumer types - operational users who need to act quickly and leadership users who need context and narrative - and design appropriately for each. Test designs with actual users from both categories before work ships.
• Prototyping and Iteration: Prototype early and share work before it is finished. Test the design approach, not just the visual details, and iterate based on what users actually do rather than what they say they prefer.
• Design System and Standards: Own and maintain the Power BI visual standard for the BI team, including color conventions, layout patterns, visualization guidelines, and reusable templates for the two primary use cases. Document design decisions so the standard can be evolved intentionally.
• Experience Outcome Tracking: Track whether shipped work is being used and whether the experience is creating the conditions for decisions to be made. Surface adoption signals and design‑related friction back…