WellDyne
WellDyne
WellDyne एक स्वास्थ्य सेवा और फार्मास्युटिकल सेवाओं की कंपनी है, जो फार्मेसी बेनिफिट मैनेजमेंट और विशेषीकृत फार्मेसी में विशेषज्ञता रखती है। इसकी सेवाओं में प्रिस्क्रिप्शन छूट कार्यक्रम, उपयोग प्रबंधन, मेल-ऑर्डर और केंद्रीय-फिल फार्मेसी संचालन, तथा आउटसोर्स की गई फार्मेसी सेवाएँ शामिल हैं। WellDyne दवा की लागत और उपचार के परिणामों को बेहतर ढंग से संबोधित करने में मदद के लिए क्लिनिकल कार्यक्रमों, दवा सेवन में निरंतरता के समर्थन, डेटा विश्लेषण और सदस्यों के साथ व्यक्तिगत सहभागिता को एकीकृत करती है। महंगी विशेषीकृत दवाओं के क्षेत्र में कंपनी की विशेष विशेषज्ञता है। WellDyne लचीली योजना संरचना, समर्पित खाता प्रबंधन और क्षेत्र-केंद्रित क्लिनिकल क्षमताओं के माध्यम से पारंपरिक PBM मॉडल का एक विकल्प प्रदान करती है।

Junior Revenue Cycle Data Analyst - WellDyne Hybrid

Support WellDyne’s pharmacy revenue-cycle operations through billing, invoicing, PBM analysis, and reporting. Use SQL and data-analysis tools to develop dashboards, identify trends, and improve billing accuracy and efficiency.

विवरण

  • Perform weekly billing activities for designated outsourced service arrangements
  • Review billing workflows to identify opportunities that improve efficiency and accuracy
  • Investigate client billing questions and reporting requests, providing timely and courteous follow-up
  • Provide support for the semi-monthly PBM billing cycle as needed
  • Carry out weekly, semi-monthly, and monthly HealthDyne billing activities as required
  • Prepare and distribute invoices when needed
  • Track assigned work through successful and timely completion
  • Help build analytics dashboards that surface trends across PBM and other business functions
  • Handle additional responsibilities for the Revenue Cycle team as assigned

आवश्यकताएँ

  • Four-year degree required, preferably in Data Science, Statistics, Healthcare Analytics, or a related field, along with demonstrated quantitative experience.
  • One to three years of professional experience.
  • Experience in PBM, healthcare, or pharmaceutical environments is preferred.
  • Advanced proficiency with Microsoft SQL, R, or comparable data-analysis tools.
  • Python experience is preferred.
  • Experience with Microsoft Excel and Visual Studio is preferred.
  • Strong analytical and critical-thinking capabilities.
  • Intermediate knowledge of Tableau or another data-visualization platform.
  • Highly diligent work style with attention to the broader business context.
  • Ability to analyze data and draw interpretations from the results.
  • Strong written and verbal communication skills.
  • Ability to listen to and understand verbally presented information and ideas.
  • This role does not provide employment visa sponsorship; candidates who need sponsorship now or later, including those on STEM OPT, are not eligible.
  • Ability to work in a standard office setting with extended computer use and occasional external travel.

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