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Commission Encounter Data Analyst Jobs (NOW HIRING)

Data Warehouse Analyst Level (B) - Intermediate At a minimum, the Vendor shall : 1. Analyze Medicaid claims, eligibility, provider, and encounter data to identify trends, anomalies, and opportunities ...

Data Analyst

Homewood, AL ยท On-site

$80 - $100/hr

Provider productivity (wRVUs, encounters, procedures) * Financial performance (collections, charges ... Bachelor's degree in Data Analytics, Health Informatics, Business, or related field * 3+ years of ...

... encounters, procedures) o Financial performance (collections, charges, payer mix, denials) o ... The Data Analyst will directly influence financial outcomes, operational efficiency, and patient ...

Support encounter-data accuracy, claims testing, operational reporting, and internal or external ... Strong analytical, problem-solving, and root-cause analysis skills. * Strong written and verbal ...

The Role The Data Analyst is a core member of JVS's Evaluation and Impact team, responsible for ... Support encounters QA and monthly database review processes, focusing on whether data patterns make ...

Data Analyst

Attica, IN ยท On-site

The Data Analyst - Manufacturing is responsible for analyzing production and operational data to ... an employee encounters while performing the essential functions of this job. Reasonable ...

Data Analyst

Attica, IN ยท On-site

The Data Analyst - Manufacturing is responsible for analyzing production and operational data to ... an employee encounters while performing the essential functions of this job. Reasonable ...

Showing results 41-60

Commission Encounter Data Analyst information

See salary details

$34K

$82.6K

$136K

How much do commission encounter data analyst jobs pay per year?

As of Sep 8, 2026, the average yearly pay for commission 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 the difference between Commission Encounter Data Analyst vs Commission Data Coordinator?

AspectCommission Encounter Data AnalystCommission Data Coordinator
Required CredentialsBachelor's in Business, Finance, or related field; experience with data analysis toolsBachelor's in Business, Finance, or related field; familiarity with data management
Work EnvironmentOffice setting, analyzing large datasets, reportingOffice setting, coordinating data collection and validation
Industry UsageInsurance, healthcare, or financial servicesInsurance, healthcare, or financial services
Common Search/ComparisonYesYes

The Commission Encounter Data Analyst and Commission Data Coordinator roles both operate within the insurance and healthcare industries, focusing on data management. The analyst primarily interprets and reports on encounter data, while the coordinator manages data collection and validation processes. Both positions require similar educational backgrounds and are often found in similar work environments, making them common points of comparison for job seekers.

What cities are hiring for Commission Encounter Data Analyst jobs?

Cities with the most Commission Encounter Data Analyst job openings:

What are the most commonly searched types of Encounter Data Analyst jobs?

The most popular types of Encounter Data Analyst jobs are:

What states have the most Commission Encounter Data Analyst jobs?

States with the most job openings for Commission Encounter Data Analyst jobs include:

What are popular job titles related to Commission Encounter Data Analyst jobs?

For Commission Encounter Data Analyst jobs, the most frequently searched job titles are:

Data Warehousing Analyst (Healthcare)

Tallahassee, FL โ€ข On-site

CIYIS
Business Management Consultingย โ€ขย 11 - 50 employees

Full-time

Posted 4 days ago


Job description

Data Warehouse Analyst (Healthcare Analytics)
Location
Tallahassee, FL (Hybrid)
Employment Type
Full-Time / Contract
About CIYIS
CIYIS is a management consulting, technology, and engineering services firm that helps government, healthcare, and critical infrastructure organizations modernize operations, improve decision-making, and leverage data-driven solutions. We combine deep business expertise with advanced analytics, digital transformation, and technology modernization capabilities to solve complex organizational challenges.
Position Overview
CIYIS is seeking an experienced Data Warehouse Analyst to support healthcare analytics, business intelligence, reporting, and data-driven decision making initiatives. The successful candidate will work with large, complex healthcare datasets to develop insights, identify trends and anomalies, support program integrity initiatives, and deliver actionable business intelligence solutions.
This role requires strong analytical and technical skills with the ability to communicate findings effectively to technical and non-technical stakeholders. The ideal candidate has experience working with healthcare claims, provider, eligibility, or encounter data and is comfortable operating in highly regulated environments involving Protected Health Information (PHI).
Key Responsibilities
  • Analyze large healthcare datasets including claims, provider, encounter, eligibility, and operational data.
  • Identify trends, anomalies, risks, and opportunities through advanced analytical techniques.
  • Design, develop, and maintain dashboards, reports, and business intelligence solutions.
  • Develop and optimize SQL queries, datasets, data models, and reporting solutions.
  • Collaborate with business stakeholders to gather requirements and translate analytical needs into technical solutions.
  • Develop and validate data extracts that support operational reporting, regulatory reporting, and performance measurement activities.
  • Create technical documentation, data dictionaries, reporting methodologies, and process documentation.
  • Support data quality initiatives and ensure accuracy and integrity of data assets.
  • Present analytical findings and recommendations to business leaders and stakeholders.
  • Participate in special projects involving predictive analytics, machine learning, fraud detection, and performance improvement initiatives.
  • Support data governance, security, privacy, and compliance requirements.
  • Perform other duties as assigned.
Required Qualifications
  • Bachelor's degree in Data Science, Statistics, Computer Science, Information Systems, Mathematics, Analytics, or a related field.
  • Minimum of 5 years of experience in data analytics, business intelligence, data warehousing, or reporting.
  • Strong SQL experience, including complex query development and performance optimization.
  • Experience using SAS, Python, or comparable analytical tools.
  • Experience developing dashboards and reports using Tableau, Power BI, SSRS, or similar visualization platforms.
  • Strong understanding of data warehousing concepts and analytical methodologies.
  • Exceptional analytical, problem-solving, and critical thinking skills.
  • Excellent verbal and written communication skills.
  • Ability to communicate complex technical information to non-technical audiences.
  • Ability to work independently and collaboratively in team environments.
Preferred Qualifications
  • Healthcare, Medicaid, Medicare, payer, or health services analytics experience.
  • Experience with healthcare claims, provider, eligibility, encounter, or population health data.
  • Experience supporting fraud, waste, abuse, compliance, or program integrity initiatives.
  • Experience working with government healthcare programs or public sector organizations.
  • Experience with cloud platforms such as Microsoft Azure or AWS.
  • Experience with machine learning, predictive analytics, statistical modeling, or risk stratification methodologies.
  • Knowledge of HIPAA, healthcare data governance, and regulatory reporting requirements.
  • Experience with data extraction, transformation, and loading (ETL) processes.
Desired Technical Skills
  • SQL Server
  • SQL
  • SAS
  • Python
  • Tableau
  • Power BI
  • SSRS
  • Azure
  • AWS
  • ETL Development
  • Data Warehousing
  • Data Modeling
  • Business Intelligence
  • Analytics
  • Dashboard Development
  • Data Governance
  • Healthcare Analytics