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WellDyne

Data Analyst I – Revenue Cycle

WellDyne

. Complete weekly billing functions for certain outsourced services arrangements .

Posted 10/9/2026full-timeFlorida • United StatesJuniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong analytical capabilities with proficiency in Microsoft SQL, R, and Python for data analysis, alongside experience in PBM and healthcare analytics. Effective communication skills support collaboration and client interactions in billing processes.

Highest-signal resume keywords
Microsoft SQL ProficiencyData Analysis Tools ExperiencePBM Billing KnowledgeHealthcare Analytics ExpertiseTableau Data Visualization

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data AnalysisBilling FunctionsProcess ImprovementAnalytics Dashboard DevelopmentQuantitative Analysis
Soft Skills
Analytical ThinkingCritical ThinkingCommunication SkillsListening SkillsDiligence
Tools & Technologies
Microsoft ExcelVisual StudioTableauRPython
Industry Keywords
PBMHealthcarePharmaceuticalRevenue CycleClient Relations

Tech Stack

Tools & technologies
PythonSQLTableau

About the role

Key responsibilities & impact
  • Complete weekly billing functions for certain outsourced services arrangements
  • Evaluate billing processes for process improvement opportunities to improve efficiency and accuracy
  • Research and provide prompt and courteous follow-up for client-related billing questions and reporting requests
  • Assist in the semi-monthly PBM Billing process as needed
  • Complete weekly, semi-monthly, and monthly HealthDyne Billing Process activities as needed
  • Create and distribute invoices as needed
  • Manage tasks to successful and timely conclusions
  • Assist in developing analytics dashboards to highlight trends in PBM and other functions
  • Support the Revenue Cycle team with other duties as assigned

Requirements

What you’ll need
  • Must possess a 4-year degree, preferably in Data Science, Statistics, Healthcare Analytics or related fields, with proven quantitative experience.
  • 1-3 years of work experience
  • PBM, healthcare, pharmaceutical experience preferred.
  • High proficiency in Microsoft SQL, R, or other data analysis tools.
  • Python experience preferred.
  • Microsoft Excel and Visual Studio experience preferred.
  • Excellent analytical and critical thinking skills
  • Intermediate understanding of Tableau or other data visualization tools
  • Advanced diligence, keeping in mind the “big picture”
  • Ability to analyze and interpret data based on results.
  • Excellent written and verbal communication skills
  • Ability to listen and understand information and ideas that are presented verbally.
  • This position is not eligible for employment visa sponsorship; applicants requiring sponsorship now or in the future, including those on STEM OPT, are not eligible for consideration.
  • Ability to work in a typical office environment with prolonged computer use and occasional external travel.