Data Modelling

Senior Revenue Cycle Business Analyst – Remote USA | Epic Clarity Certified

Senior Revenue Cycle Business Analyst
Remote | Full-Time | United States

This is an exciting opportunity for a highly analytical and technically advanced Revenue Cycle professional to join a forward-thinking healthcare organisation driving innovation across enterprise analytics and operational performance.

Ideal for candidates with deep expertise in Epic Clarity, healthcare billing data, and business intelligence technologies, this role offers the chance to influence strategic decision-making through advanced analytics, predictive modelling, and enterprise reporting initiatives.

This is a fully remote opportunity, providing flexibility while working on high-impact projects within a complex healthcare environment.

The Opportunity

Reporting into senior analytics leadership, you will play a key role in developing and delivering enterprise-level Revenue Cycle reporting, insights, and data solutions that directly support operational strategy and financial performance.

You will:

  • Design, develop, test, and deploy enterprise reporting solutions and dashboards

  • Analyse complex hospital and professional billing datasets to drive operational insight and accountability

  • Collaborate with business leaders, analysts, and stakeholders to define analytical requirements and reporting strategies

  • Develop predictive and prescriptive analytics models supporting denials management, AR optimisation, and cash forecasting

  • Build and maintain certified datasets serving as the central source for Revenue Cycle KPI reporting

  • Leverage SQL, Tableau, Crystal Reports, and advanced analytics tools to support enterprise decision-making

  • Lead or contribute to strategic analytics and data governance initiatives

  • Translate complex analytical findings into concise executive-level presentations and recommendations

  • Drive continuous improvement and modernisation across reporting and business intelligence capabilities

Compensation & Benefits

  • Salary: $78,000 – $113,000

  • Schedule: Full-Time

  • Location: Fully Remote within the United States

  • Sign-On Bonus: Not offered

  • Relocation Assistance: Not required

Comprehensive Benefits Package Includes:

  • Medical, Dental, and Vision Insurance

  • Life Insurance

  • Retirement Plan

  • Generous Paid Time Off

  • Additional wellbeing and professional development programs

What Makes This Role Stand Out

  • Fully remote opportunity with strong work-life flexibility

  • High visibility across Revenue Cycle and Analytics leadership teams

  • Opportunity to work with enterprise-scale healthcare data environments

  • Exposure to advanced predictive analytics and business intelligence initiatives

  • Strong focus on innovation, data governance, and operational transformation

  • Collaborative culture that values analytical thinking, continuous improvement, and strategic impact

Candidate Profile

Essential Requirements:

  • Epic Revenue Data Model (Clarity) Certification

  • 3+ years of Revenue Cycle, managed healthcare, or insurance operations experience

  • Strong understanding of Hospital Billing and Professional Billing data

  • Advanced expertise with SQL, Tableau, and Crystal Reports

  • Strong knowledge of relational databases, data modelling, and OLAP technologies

  • Bachelor’s degree in Health Informatics, Finance, or related field

Preferred Qualifications:

  • Master’s degree in Health Informatics, Business, Public Health, or related field

  • Experience developing standardised Revenue Cycle KPI datasets and governance frameworks

  • Experience building predictive analytics and root cause analysis models

  • Exceptional communication and stakeholder engagement skills

  • Strong analytical mindset with the ability to work independently in fast-paced environments

This is an excellent opportunity for a Senior Revenue Cycle Analyst seeking a role that combines advanced analytics, enterprise visibility, technical innovation, and meaningful operational impact within a complex and evolving healthcare environment.

 

Data Engineer | Azure, Databricks, Python, SQL, Spark | Hybrid – Netherlands (€3,500–€5,000/month)

Data Engineer

📍 Location: Eindhoven area or Randstad, Netherlands (Hybrid – 3 office days / 2 home days)
💼 Employment Type: Full-time
💵 Salary: €3,500 – €5,000 per month (€45,360 – €64,800 annually)
🎯 Experience Level: Mid-level | 2–3 years’ experience

About the Role

Do you love working with data — from digging into sources and writing clean ingestion scripts to ensuring a seamless flow into a data lake? As a Data Engineer, you’ll design and optimize data pipelines that transform raw information into reliable, high-quality datasets for enterprise clients.

You’ll work with state-of-the-art technologies in the cloud (Azure, Databricks, Fabric) to build solutions that deliver business-critical value. In this role, data quality, stability, and monitoring are key — because the pipelines you create will be used in production environments.

Key Responsibilities

  • Develop data connectors and processing solutions using Python, SQL, and Spark.

  • Define validation tests within pipelines to guarantee data integrity.

  • Implement monitoring and alerting systems for early issue detection.

  • Take the lead in troubleshooting incidents to minimize user impact.

  • Collaborate with end users to validate and continuously improve solutions.

  • Work within an agile DevOps team to build, deploy, and optimize pipelines.

Requirements

  • 🎓 Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.

  • 2–3 years of relevant experience in data ingestion and processing.

  • Strong knowledge of SQL, Python, and Spark.

  • Familiarity with container environments (e.g., Kubernetes).

  • Experience with Azure Data Factory, Databricks, or Fabric is a strong plus.

  • Experience with data model management and dashboarding (e.g., PowerBI) preferred.

  • Team player with strong communication skills in Dutch and English.

  • Familiarity with enterprise data platforms and data lakes is ideal.

What We Offer

  • 💶 Salary: €3,500 – €5,000 per month

  • 🌴 26 vacation days

  • 🚗 Lease car or mobility budget (€600)

  • 💻 Laptop & mobile phone

  • 💸 €115 monthly cost allowance

  • 🏦 50% employer contribution for health insurance

  • 📈 60% employer contribution for pension scheme

  • 🎯 Performance-based bonus

  • 📚 Training via in-house Academy (hard & soft skills)

  • 🏋️ Free use of on-site gym

  • 🌍 Hybrid work model (3 days in office, 2 days at home)

  • 🤝 Start with a 12-month contract, with option to move to indefinite after evaluation

Ideal Candidate

You are a hands-on data engineer who enjoys data wrangling and building robust pipelines. You take pride in seeing your code run smoothly in production and know how to troubleshoot quickly when issues arise. With strong technical skills in SQL, Python, and Spark, plus familiarity with cloud platforms like Azure, you’re ready to contribute to impactful enterprise projects.

👉 Ready to make data flow seamlessly and create business value? Apply now to join a passionate, innovation-driven team.