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 | AWS, Python & Snowflake | Ridgefield, CT (Hybrid) | $140K–$185K

🧠 Data Engineer

Before reading further, here are three non-negotiables that the client has made absolutely clear:

This is a Direct Hire (W2) permanent position. No C2C, no 1099, no third parties.

Candidates must NOT require sponsorship now or in the future. We can only consider US Citizens or Green Card holders who can work long-term without restriction.

The role is Hybrid — non-negotiable. You must be onsite 2–3 days per week in Ridgefield, CT, so candidates must already live within commuting distance or be willing to relocate.
(The good news: the company offers excellent benefits and is open to relocation support or a sign-on bonus for the right hire.)

📍 Location: Ridgefield, Connecticut (Hybrid – 2–3 days onsite per week)
💼 Openings: 2
🏢 Industry: Information Technology / Life Sciences
🎓 Education: Bachelor’s degree in Computer Science, MIS, or related field (Master’s preferred)
🚫 Visa Sponsorship: Not available
🚚 Relocation: Available for the ideal candidate
💰 Compensation: $140,000 – $185,000 base salary + full benefits
🕓 Employment Type: Full-Time | Permanent

🌟 The Opportunity

Step into the future with a global leader in healthcare innovation — where Data and AI drive transformation and impact millions of lives.

As part of the Enterprise Data, AI & Platforms (EDP) team, you’ll join a high-performing group that’s building scalable, cloud-based data ecosystems and shaping the company’s data-driven future.

This role is ideal for a hands-on Data Engineer who thrives on designing, optimizing, and maintaining robust data pipelines in the cloud, while collaborating closely with architects, scientists, and business stakeholders across the enterprise.

🧭 Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines and integration frameworks to enable advanced analytics and AI use cases.

• Collaborate with data architects, modelers, and data scientists to evolve the company’s cloud-based data architecture strategy (data lakes, warehouses, streaming analytics).

• Optimize and manage data storage solutions (e.g., S3, Snowflake, Redshift), ensuring data quality, integrity, and security.

• Implement data validation, monitoring, and troubleshooting processes to ensure high system reliability.

• Work cross-functionally with IT and business teams to understand data requirements and translate them into scalable solutions.

• Document architecture, workflows, and best practices to support transparency and continuous improvement.

• Stay current with emerging data engineering technologies, tools, and methodologies, contributing to innovation across the organization.

🧠 Core Requirements

Technical Skills

✅ Hands-on experience with AWS data services such as Glue, Lambda, Athena, Step Functions, and Lake Formation.
✅ Strong proficiency in Python and SQL for data manipulation and pipeline development.
✅ Experience in data warehousing and modeling (dimensional modeling, Kimball methodology).
✅ Familiarity with DevOps and CI/CD practices for data solutions.
✅ Experience integrating data between applications, data warehouses, and data lakes.
✅ Understanding of data governance, metadata management, and data quality principles.

Cloud & Platform Experience

• Expertise in AWS, Azure, or Google Cloud Platform (GCP) – AWS preferred.

• Knowledge of ETL/ELT tools such as Apache Airflow, dbt, Azure Data Factory, or AWS Glue.

• Experience with Snowflake, PostgreSQL, MongoDB, or other modern database systems.

Education & Experience

🎓 Bachelor’s degree in Computer Science, MIS, or related field
💼 5–7 years of professional experience in data engineering or data platform development
⭐ AWS Solutions Architect certification is a plus

🚀 Preferred Skills & Attributes

• Deep knowledge of big data technologies (Spark, Hadoop, Flink) is a strong plus.

• Proven experience troubleshooting and optimizing complex data pipelines.

• Strong problem-solving skills and analytical mindset.

• Excellent communication skills for collaboration across technical and non-technical teams.

• Passion for continuous learning and data innovation.

💰 Compensation & Benefits

💵 Base Salary: $140,000 – $185,000 (commensurate with experience)
🎯 Bonus: Role-based variable incentive
💎 Benefits Include:

• Comprehensive health, dental, and vision coverage

• Paid vacation and holidays

• 401(k) retirement plan

• Wellness and family support programs

• Flexible hybrid work environment

🧩 Candidate Snapshot

• Experience: 5–7 years in data engineering or related field

• Key Skills: AWS Glue | Python | SQL | ETL | CI/CD | Snowflake | Data Modeling | Cloud Architecture

• Seniority Level: Mid–Senior

• Work Arrangement: 2–3 days onsite in Ridgefield, CT

• Travel: Occasional

🚀 Ready to power the future of data-driven healthcare?
Join a global data and AI team committed to harnessing the power of cloud and analytics to drive discovery, innovation, and meaningful impact worldwide.

Lead Data Scientist | Houston, TX | $125K–$140K + Equity + Hybrid Flexibility

Lead Data Scientist

Location: Houston, TX (Onsite)
Level: Senior
Reports To: Director of Data Science
Salary Range: $125,000 – $140,000 (USD)
Benefits: Medical, Dental, Vision, Life Insurance, Retirement, Equity, Paid Time Off, Work From Home Flexibility

About the Role

We are seeking a Lead Data Scientist to spearhead transformative projects that drive impact across the organization. This is a hands-on leadership role where you’ll design advanced models, mentor a team of talented data scientists, and partner with senior stakeholders to solve complex challenges. If you thrive at the intersection of technology, business strategy, and innovation, this role offers the perfect platform to showcase your expertise.

What You’ll Do

• Lead high-visibility projects that directly influence business strategy and decision-making.

• Develop and deploy custom algorithms, models, and predictive analytics that unlock value from complex data sets.

• Translate technical insights into clear, compelling stories for executive-level audiences.

• Mentor and coach junior data scientists, elevating the technical capabilities of the team.

• Research and implement cutting-edge machine learning techniques to improve operational performance.

• Partner with cross-functional teams to identify opportunities, resolve data challenges, and optimize processes.

• Stay at the forefront of emerging tools and vendors, recommending best-fit solutions.

What You Bring

• 7+ years of professional experience in data science, with proven project leadership.

• Strong background in machine learning, advanced statistical modeling, and SQL database management.

• Experience in healthcare data, EHR systems, or financial/revenue cycle data preferred.

• Demonstrated ability to design scalable solutions using AWS (certification required).

• Hands-on expertise in Cogito and other data management platforms.

• Exceptional communication skills – able to engage both technical teams and executive stakeholders.

• A problem-solving mindset with the ability to thrive in fast-paced, multidisciplinary environments.

Interview Process

1. Recruiter Interview

2. Hiring Manager Interview

3. Panel Interview

Why Join Us?

Here, your work won’t just be about numbers – it will be about impact. You’ll have the chance to combine advanced data science with real-world problem solving, shaping decisions that matter.

We celebrate growth, encourage innovation, and foster a culture of collaboration. You’ll be supported by mentors, inspired by peers, and empowered to chart your own career path. Our workplace has been consistently recognized as one of the Top Workplaces in the region, a testament to our values-driven culture and commitment to meaningful work.

Benefits at a Glance

• Comprehensive medical, dental, and vision insurance

• Life insurance and retirement plans

• Equity opportunities

• Generous paid time off

• Flexible work-from-home options