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Encounter Data Analyst Jobs (NOW HIRING)

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 ...

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 ...

Humana

Encounter Data Management Professional

$59K - $80K/yr

You will analyze encounter data, research claims issues, and identify complex errors within the encounter submission process between Humana and CMS. Your work will help ensure the accuracy and ...

Humana

Encounter Data Management Professional

$59K - $80K/yr

You will analyze encounter data, research claims issues, and identify complex errors within the encounter submission process between Humana and CMS. Your work will help ensure the accuracy and ...

Humana

Encounter Data Management Professional

$59K - $80K/yr

You will analyze encounter data, research claims issues, and identify complex errors within the encounter submission process between Humana and CMS. Your work will help ensure the accuracy and ...

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, 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

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

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

HMSA

Manager, Encounter Submissions

Honolulu, HI · On-site

$144K/yr

Supports audits of encounter data and minimizes risks of findings from submission activities ... Delegates some leadership to senior analysts and oversees outcomes and communication. * Continuous ...

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Encounter Data Analyst information

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How much do encounter data analyst jobs pay per year?

As of Sep 2, 2026, the average yearly pay for 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 encounter data analyst?

Encounter Data Analysts are professionals who specialize in managing, analyzing, and ensuring the accuracy of healthcare encounter data—records of patient interactions with healthcare providers. They play a crucial role in validating, processing, and reporting this data to meet regulatory requirements, support healthcare operations, and improve care quality. Their work involves collaborating with healthcare providers, payers, and IT teams to identify data discrepancies, perform quality checks, and generate actionable insights from large datasets.

What are the key skills and qualifications needed to thrive as an encounter data analyst?

To thrive as an Encounter Data Analyst, you need strong analytical skills, attention to detail, and a background in health informatics, statistics, or a related field, often supported by a bachelor's degree. Familiarity with healthcare data systems such as claims processing software, SQL databases, and knowledge of HIPAA regulations are typically required, along with proficiency in tools like Excel or SAS. Excellent problem-solving abilities, communication skills, and the capacity to work both independently and collaboratively make someone stand out in this position. These skills are essential to ensure the accurate submission, validation, and analysis of healthcare encounter data, which directly impacts compliance, reporting, and reimbursement processes.

What are some common challenges encounter data analysts face when ensuring data accuracy and compliance?

Encounter Data Analysts often encounter challenges related to incomplete or inconsistent healthcare data submitted by providers. Ensuring compliance with regulatory requirements, such as CMS or state-specific guidelines, requires a strong attention to detail and frequent collaboration with data submitters and internal teams. Analysts must regularly validate, clean, and reconcile large datasets, troubleshoot discrepancies, and stay up-to-date on evolving reporting standards. Effective communication and analytical skills are essential for addressing these challenges and maintaining data integrity.

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

AspectEncounter Data AnalystEncounter Data Coordinator
Required CredentialsBachelor's in health informatics, healthcare, or related field; familiarity with healthcare data systemsSimilar credentials; often requires experience with healthcare data entry and coordination
Work EnvironmentAnalyzing healthcare encounter data, ensuring data accuracy, and reportingManaging data collection, coordinating between providers and payers, ensuring data completeness
Employer & Industry UsageHospitals, insurance companies, healthcare analytics firmsHealthcare providers, insurance companies, billing departments
Common Search & ComparisonEncounter Data Analyst vs Encounter Data Coordinator

The Encounter Data Analyst focuses on analyzing and ensuring the accuracy of healthcare encounter data, while the Encounter Data Coordinator manages the collection and coordination of encounter information. Both roles require healthcare data knowledge but differ in their primary responsibilities and focus areas within the healthcare industry.

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Encounter Data Analyst jobs near you
Infographic showing various 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 86% Physical, 3% Hybrid, and 11% 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 26 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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