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On Call Encounter Data Analyst Jobs (NOW HIRING)

Delta Dental of Michigan

Encounter Data Specialist

Okemos, MI · On-site

$15.50 - $20.75/hr

Encounter Data Specialist At Delta Dental of Michigan, Ohio, and Indiana we work to improve oral ... Conducts root cause analysis for encounter errors reviews results, processes, and/or system ...

Delta Dental of Michigan

Encounter Data Specialist

Okemos, MI · Hybrid

$15.50 - $20.50/hr

Encounter Data Specialist Number of Positions: 1 Location: Okemos, MI Location Specifics: Hybrid ... Conducts root cause analysis for encounter errors reviews results, processes, and/or system ...

Delta Dental of Michigan

Encounter Data Specialist

Okemos, MI · On-site

$15.50 - $20.50/hr

Encounter Data Specialist Number of Positions: 1 Location: Okemos, MI Location Specifics: Hybrid ... Conducts root cause analysis for encounter errors reviews results, processes, and/or system ...

Astiva Health

Healthcare Data Analyst

Orange, CA · On-site

$85K - $115K/yr

Analyze medical and pharmacy claims, membership, supplement, lab, risk adjustment, and encounter data to support Medicare Advantage quality, risk, and operational programs. * Develop and maintain ...

LIBERTY DENTAL

We're hiring an Encounter Data & Regulatory Analytics Manager with strong SQL programming skills with the ability to query, analyze, and validate complex data sets. Experience working with healthcare ...

Astiva Health

Healthcare Data Analyst

Orange, CA

$85K - $115K/yr

Analyze medical and pharmacy claims, membership, supplement, lab, risk adjustment, and encounter data to support Medicare Advantage quality, risk, and operational programs. * Develop and maintain ...

Humana

Supervisor, Encounter Data Management

Ensures encounter submissions meet or exceed all compliance standards via analysis of data, and develop tools to enhance the encounter acceptance rate by Medicaid/Medicare. Looks for long term ...

Humana

Encounter Data AI & Automation Lead

Become a part of our caring community The Encounter Data Management Lead is responsible for leading ... Analyze complex data issues and use AI-driven insights to determine root causes and solutions

Humana, Inc.

Encounter Data AI & Automation Lead

Become a part of our caring community The Encounter Data Management Lead is responsible for leading ... Analyze complex data issues and use AI-driven insights to determine root causes and solutions

Humana

Encounter Data AI & Automation Lead

Become a part of our caring community The Encounter Data Management Lead is responsible for leading ... Analyze complex data issues and use AI-driven insights to determine root causes and solutions

Humana

Encounter Data AI & Automation Lead

Become a part of our caring community The Encounter Data Management Lead is responsible for leading ... Analyze complex data issues and use AI-driven insights to determine root causes and solutions

Humana, Inc.

Supervisor, Encounter Data Management

Ensures encounter submissions meet or exceed all compliance standards via analysis of data, and develop tools to enhance the encounter acceptance rate by Medicaid/Medicare. Looks for long term ...

Humana

Supervisor, Encounter Data Management

Ensures encounter submissions meet or exceed all compliance standards via analysis of data, and develop tools to enhance the encounter acceptance rate by Medicaid/Medicare. Looks for long term ...

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On Call Encounter Data Analyst information

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$82.6K

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How much do on call encounter data analyst jobs pay per year?

As of Aug 25, 2026, the average yearly pay for on call encounter data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is an on call encounter data analyst?

On Call Encounter Data Analysts are professionals who analyze and manage healthcare encounter data—records of interactions between patients and healthcare providers. They are typically responsible for ensuring the accuracy, completeness, and compliance of encounter data submissions, often for insurance or government reporting. The 'on call' aspect means they may be required to address urgent data issues or support data processing outside regular business hours. Their work supports quality assurance, regulatory compliance, and operational efficiency in healthcare organizations.

What skills and qualifications are needed to thrive as an on call encounter data analyst?

To thrive as an On Call Encounter Data Analyst, you need a solid background in data analysis, healthcare data standards, and typically a degree in information systems, statistics, or a related field. Familiarity with data analytics tools like SQL, Excel, and healthcare-specific platforms such as EDI systems and claims processing software is essential. Strong attention to detail, problem-solving skills, and effective communication are crucial soft skills for interpreting data and collaborating with cross-functional teams. These skills ensure accurate, timely data reporting and compliance with regulatory requirements, which are vital for supporting healthcare operations.

What are common challenges faced by on call encounter data analysts and how can they be addressed?

On Call Encounter Data Analysts often face the challenge of ensuring data accuracy and completeness in rapidly changing healthcare environments. They may need to quickly resolve discrepancies in encounter data submissions, which requires strong attention to detail and problem-solving skills. Collaborating with various departments, such as IT and clinical teams, is crucial to clarify data sources and resolve issues efficiently. Staying up-to-date with regulatory requirements and payer guidelines also helps analysts maintain compliance and data integrity.

What is the difference between On Call Encounter Data Analyst vs Encounter Data Coordinator?

AspectOn Call Encounter Data AnalystEncounter Data Coordinator
Required CredentialsBachelor's in health information, data analysis experienceBachelor's in health information, data management experience
Work EnvironmentHealthcare facilities, remote/on-callHealthcare organizations, office-based
Employer & Industry UsageHospitals, insurance companies, government agenciesHospitals, clinics, health plans

The On Call Encounter Data Analyst primarily reviews and analyzes encounter data during on-call hours, focusing on data accuracy and timely reporting. The Encounter Data Coordinator manages the overall data collection process, ensuring completeness and compliance. While both roles require health information knowledge, the analyst emphasizes data analysis during on-call periods, whereas the coordinator oversees data management and coordination across teams.

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On Call Encounter Data Analyst jobs near you
Infographic showing various On Call Encounter Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst (Medicaid Claims and Encounter Data)

Cloud and Things

Albany, NY • On-site, Remote

Full-time

Posted 18 days ago

Job description

Our goal is to solve problems and deliver results for our clients. At Cloud and Things, you can be a part of transforming the public sector's IT environment. Our team is on the forefront of helping to solve the government's most complex IT challenges. If you are seeking a role that offers the opportunity to work on rewarding projects, consider a career with Cloud and Things.
*This is an exempt position. Salary commensurate with experience*
Overview:
We are seeking an experienced Data Analyst to support our NYS client in analyzing and extracting insights from the Medicaid Data warehouse (MDW); run queries on the claims and encounter data . This role requires hands-on experience working within a Medicaid Data Warehouse (MDW) environment. The ideal candidate will have a strong background in healthcare data analytics, particularly claims and encounters, and will be expected to run complex SQL queries and navigate Medicaid-specific data structures.
Duties:
  • Query and analyze Medicaid claims and encounter data from the Medicaid Data Warehouse (MDW).

  • Write, optimize, and troubleshoot complex SQL queries to extract meaningful data.

  • Interpret data trends, anomalies, and key metrics to inform decision-making and operational improvements.

  • Collaborate with technical and non-technical stakeholders to present data-driven insights.

  • Create and maintain Tableau dashboards or similar visualization tools to display analytical findings.

  • Ensure data integrity and consistency across multiple data sources.

  • Maintain clear documentation of all queries, processes, and analysis for transparency and reproducibility.

Mandatory Qualifications:
  • Bachelor's degree in Data Analytics, Computer Science, Statistics, Public Health, or a related field.
  • 4+ years of NYS Medicaid Data Warehouse (MDW) experience.

  • 4+ years of experience analyzing healthcare claims and encounter data.

  • Strong knowledge of Medicaid data, including common tables, relationships, and reporting metrics.

  • Advanced SQL skills with the ability to write and optimize large, complex queries.

  • Experience building dashboards with Tableau or similar BI tools.

  • Strong communication skills, with the ability to explain complex data concepts to stakeholders.

Desirable Qualifications:
  • Experience working with NYS government agencies or healthcare systems.

  • Familiarity with ETL processes and data warehousing best practices.

  • Exposure to statistical tools or languages like Python or R is a plus.

Cloud and Things complies with all applicable federal, state, and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws.

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