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Senior Encounter Data Analyst Jobs (NOW HIRING)

Senior Data Analyst

Quantico, VA ยท On-site

$91K - $114K/yr

Senior Data Analyst ID: 1592 Location: Quantico, VA More about this job > Description Data Intelligence is seeking a highly skilled Senior Data Analyst to support the Naval Criminal Investigative ...

Sr. Data Analyst

Greensboro, NC ยท On-site

$83K - $105K/yr

The Senior Data Analyst is a hands-on analytical and technical contributor who supports this ... an employee encounters while performing the essential functions of this job. Reasonable ...

New

Sr. Data Analyst

Greensboro, NC ยท On-site

$83K - $105K/yr

The Senior Data Analyst is a hands-on analytical and technical contributor who supports this ... an employee encounters while performing the essential functions of this job. Reasonable ...

New

Senior Data Analyst

Quantico, VA ยท On-site

$91K - $114K/yr

Data Intelligence is seeking a highly skilled Senior Data Analyst to support the Naval Criminal Investigative Services IT at NCIS Headquarters in Quantico, VA. This role focuses on advanced data ...

Senior Data Analyst

Denver, CO ยท Remote

$90K - $120K/yr

100% Remote Full-time Senior Analyst At NuView Analytics - we help companies accelerate the time to insights from their data. We do this in three ways - data analytics, data diligence, and fractional ...

Senior Data Analyst

$88K - $111K/yr

The Senior Data Analyst will play a crucial role in the Stride Marketing Organization and will work ... an employee encounters while performing the essential functions of this job. Reasonable ...

Ignite Digital is seeking an experienced Senior Data Analyst to lead advanced analytics efforts supporting a US Navy data analytics, cloud management, and IT modernization program. This position ...

Sr. Data Analyst

Charlottesville, VA ยท On-site

$85K - $107K/yr

Job#: 3045732 Senior Data Analyst Position Overview Our healthcare client is seeking a Tableau Data ... Experience with healthcare datasets including claims, encounters, providers, reimbursement, HEDIS ...

New

Senior Data Analyst

Washington, DC ยท On-site

$110K - $150K/yr

Senior Data Analyst Washington, DC Metro Area (On-Site) | US Citizenship Required A growing technology organization supporting public sector clients is seeking a Senior Data Analyst to join its team.

Senior Data Analyst

Eden Prairie, MN ยท On-site

$101K - $111K/yr

Administration/Senior Data Analyst Date Posted: 7/31/2026 Location: Administrative Services Center Date Available: 09/01/2026 Senior Data Analyst Eden Prairie School District is seeking a highly ...

Senior Data Analyst

Imperial, NE ยท On-site

$80K - $101K/yr

The Senior Data Analyst is a highly analytical and business-savvy individual contributor who acts as an internal expert and strategic partner to various business units. This role focuses on tackling ...

Showing results 21-40

Senior Encounter Data Analyst information

See salary details

$55K

$99.2K

$135.5K

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

As of Aug 13, 2026, the average yearly pay for senior encounter data analyst in the United States is $99,231.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,000.00 and $108,500.00 per year, depending on experience, location, and employer.

What is a senior encounter data analyst?

Senior Encounter Data Analysts are experienced professionals who specialize in analyzing and validating healthcare encounter data, which includes records of services provided to patients. They ensure that the data submitted to regulatory agencies is accurate, complete, and compliant with industry standards. Their duties often involve data quality assurance, reporting, troubleshooting data anomalies, and collaborating with IT and clinical teams to improve data processes. These analysts play a critical role in supporting healthcare organizations' reimbursement, compliance, and operational goals.

What are the key skills and qualifications needed to thrive as a senior encounter data analyst, and why are they important?

To thrive as a Senior Encounter Data Analyst, you need strong analytical skills, a solid understanding of healthcare data (especially claims and encounter data), and a bachelor's degree in a related field such as health informatics or statistics. Expertise with data analysis tools like SQL, SAS, or Python, as well as familiarity with CMS or Medicaid/Medicare data submission requirements, is typically required. Attention to detail, problem-solving abilities, and effective communication are valuable soft skills for this role. These competencies ensure accurate data analysis, regulatory compliance, and clear reporting to support organizational decision-making in the healthcare sector.

What are some common challenges faced by senior encounter data analysts when ensuring data accuracy and compliance?

Senior Encounter Data Analysts often encounter challenges such as incomplete or inconsistent data submissions, evolving regulatory requirements, and integration of data from multiple sources. Ensuring data accuracy requires close collaboration with internal teams, such as IT and compliance, and proactive communication with healthcare providers. Staying updated on the latest CMS and state guidelines is essential, as is implementing robust quality assurance processes to minimize errors and address discrepancies quickly.

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

AspectSenior Encounter Data AnalystEncounter Data Analyst
Required CredentialsBachelor's degree in health informatics, data analysis, or related field; experience with healthcare data systemsBachelor's degree in health informatics, data analysis, or related field; some experience preferred
Work EnvironmentHealthcare organizations, insurance companies, or consulting firmsHealthcare providers, insurance companies, or data analysis teams
Employer & Industry UsageCommonly employed in healthcare and insurance sectors for complex data projectsUsed across similar sectors for routine data processing and reporting

The main difference is that a Senior Encounter Data Analyst typically has more experience, handles complex data projects, and may oversee junior staff, whereas an Encounter Data Analyst focuses on routine data entry and reporting tasks. Both roles require similar educational backgrounds and are vital in healthcare data management, but the senior role involves greater responsibility and expertise.

What cities are hiring for Senior Encounter Data Analyst jobs?

Cities with the most Senior 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 Senior Encounter Data Analyst jobs?

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

Senior Data Analyst

Data Intelligence LLC

Quantico, VA โ€ข On-site

$91K - $114K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 22 days ago


Job description

Data Intelligence LLC
Job Openings >> Senior Data Analyst
Senior Data Analyst
Summary
Title: Senior Data Analyst ID: 1592 Location: Quantico, VA
More about this job >
Description

Data Intelligence is seeking a highly skilled Senior Data Analyst to support the Naval Criminal Investigative Services IT at NCIS Headquarters in Quantico, VA. This role focuses on advanced data analytics, statistical modeling, and integration of data-driven solutions to enhance investigative and intelligence capabilities. The ideal candidate will bring deep expertise in data science methodologies, software integration, and scalable analytics architectures.

Key Responsibilities

  • Develop, implement, and maintain advanced data science and analytics solutions
  • Design and execute data analysis workflows using statistical and mathematical modeling techniques
  • Build and manage ETL pipelines for ingesting, transforming, and delivering structured and unstructured data
  • Develop and integrate APIs and data services to support enterprise analytics platforms
  • Perform software integration and testing, including development and execution of test plans and scripts
  • Utilize Python, R, and other scripting languages for data analysis and automation
  • Apply data mining, graph algorithms, and statistical techniques to support mission objectives
  • Work with SQL and NoSQL databases, search indexes, and web application servers
  • Leverage tools such as Jupyter Notebook, Pandas, NumPy, Requests, and related data science libraries
  • Create data visualizations and dashboards using spreadsheets and other tools
  • Collaborate with cross-functional teams to deliver scalable and secure analytics solutions

Required Qualifications

  • Master's degree in Data Science, Computer Science, Engineering, Mathematics, or related field
  • Minimum 10 years of professional experience in data science or advanced analytics
  • Experience with software integration or testing, including analyzing and implementing test plans and scripts
  • Strong experience with scripting languages such as Python and R
  • Experience with data science, data mining, statistics, and graph algorithms
  • Proficiency with SQL, NoSQL, API development, ETL pipelines, web application servers, and search indexing technologies
  • Experience using tools and frameworks such as:
    • Python, Jupyter Notebook, Pandas, NumPy, Requests
  • Strong foundation in complex mathematical and statistical concepts
  • Experience applying statistical analysis and operations research methodologies
  • Proficiency in data manipulation and visualization using spreadsheets and related tools

Certifications (Preferred)
One or more relevant industry certifications, such as:

  • CompTIA Cloud Essentials, CompTIA A+, CompTIA Security+
  • Microsoft Technical Associate (MTA), MCPD, MCSD, MCSE
  • Certificate of Cloud Security Knowledge (CCSK)
  • EMC Data Science Associate (EMCDSA)
  • Cloudera Certified Data Scientist (CCDH) / Certified Cloud Professional (CCP)
  • Certified Apache Hadoop Developer (HCAHD) / Cloudera Certified Administrator for Apache Hadoop (CCAH)
  • Certified Information Systems Security Professional (CISSP)

About Data Intelligence, LLC:

Data Intelligence, LLC (DI) is a small business that provides Information Technology System Development (Agile, DevSecOps, Cloud Platform support) Cybersecurity (RMF, Security Engineering, Cross Domain Solutions), Tactical Data Link Standards Development and Testing, and Logistics/Warehousing services to U.S. federal clients both CONUS and OCONUS. DI consistently demonstrates exceptional customer service, maintains an employee-centric culture, and delivers hands-on technical expertise to help our clients achieve their mission.

Since 2005, DI has successfully provided IT Systems Engineering, Software Development, Cybersecurity, and supporting solutions and services to customers that include the Department of Defense, Intelligence, and Federal Civilian clients. Current clients include the US Navy, Air Force, Army, Marine Corps, Coast Guard, National Geospatial-Intelligence Agency, Defense Logistics Agency, and The Department of Homeland Security. DI is headquartered in Marlton, New Jersey, with satellite offices in California, Maryland, Ohio, Pennsylvania, Virginia, and Washington, D.C.

Why you should join us:

Data Intelligence offers competitive salaries, comprehensive benefits, a team-oriented environment, and opportunities for advancement. Our excellent employee retention record reflects our employee focus. We work with Veteran's organization to proactively hire those who have served our country. We offer medical, dental and vision insurance, 401k, PTO and 11 paid holidays.

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