Data Reporting Analyst (HealthTech)

At AssistRx, we combine technology and talent to accelerate patient access to therapy. Our advanced hub solutions simplify the patient journey, connect prescribers, pharmacies, and manufacturers, and empower providers to make faster, data-driven decisions.

Every day, our team uses data to bridge the gap between patients and the treatments they need. Join us, and be part of a company that transforms data into meaningful outcomes — ensuring that patients get on therapy, stay on therapy, and achieve better health.

As a Data Insight Analyst, you’ll play a key role in transforming complex data into actionable insights that drive smarter decisions across our organization and client base. You’ll not only acquire, manage, and analyze data — you’ll also help shape how our internal teams, clients, and partners understand and act on it.

In this role, you’ll lead electronic data partner onboarding, ensure smooth implementations, and act as the go-to expert for all things data quality. You’ll collaborate across departments to ensure data accuracy, accessibility, and strategic value — empowering stakeholders with the information they need to make a measurable impact.

What You’ll Do

• Transform Data into Insight: Develop reports, dashboards, and analytics using SQL, Tableau, Excel, and Salesforce data to reveal trends, relationships, and actionable business intelligence.
• Deliver Data Storytelling: Go beyond numbers by using visualizations and narrative context to explain findings and guide decisions.
• Ensure Data Excellence: Review and QA all data outputs to ensure accuracy, consistency, and reliability before sharing with internal or external stakeholders.
• Be a Partner to Clients: Communicate directly with customers to understand their data needs, resolve quality issues, and meet key deadlines.
• Lead Implementations: Manage the onboarding and configuration of electronic data trading partners, ensuring a seamless setup and successful integration.
• Maintain Data Quality: Research, identify, and resolve data inconsistencies or anomalies; provide clear documentation and process improvements.
• Educate and Empower: Lead web-based training sessions with clients and partners on data specifications, helping them understand requirements and best practices.
• Be the Expert: Stay up to date on evolving data specifications and act as a trusted resource for both internal teams and clients.