2

Remote Encounter Data Analyst Jobs in Reston, VA

Data Analyst (Oracle HCM Cloud) 100% remote Pay Rate: Open to Both C2C and W2 options Position Type: Multiyear Contract We are seeking an experienced contractor to support advanced data development ...

Data Analyst (Oracle HCM Cloud) 100% remote Pay Rate: Open to Both C2C and W2 options Position Type: Multiyear Contract We are seeking an experienced contractor to support advanced data development ...

The Health IT Data Analyst will develop reports, dashboards, and analytical products that enable ... This is a remote position requiring all work be performed in the continental United States. US ...

The Data Evaluator/Analyst transforms raw data into actionable insights, ensuring DOE receives ... Benefits MELE Offers · Hybrid remote/office work environment. · Employer-paid employee Medical ...

Remote We are seeking a skilled MongoDB Analyst to manage, analyze, and optimize large-scale NoSQL databases. The ideal candidate will be responsible for designing data models, ensuring data ...

ICF is seeking an experienced Data Analytics Manager to lead enterprise data, analytics, governance ... This position is remote within the United States. Please note that ICF monitors employee work ...

Showing results 41-60

Remote Encounter Data Analyst information

See Reston, VA salary details

$35.4K

$86K

$141.5K

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

As of Aug 7, 2026, the average yearly pay for remote encounter data analyst in Reston, VA is $85,975.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $100,900.00 per year, depending on experience, location, and employer.

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

AspectRemote Encounter Data AnalystRemote Clinical Data Coordinator
Required CredentialsBachelor's in health informatics, data analysis, or related field; familiarity with healthcare data systemsBachelor's in health sciences, nursing, or related; experience with clinical data management
Work EnvironmentRemote, healthcare or research organizationsRemote, clinical research or healthcare settings
Employer & Industry UsageHospitals, research institutions, healthcare providersPharmaceutical companies, clinical research organizations, hospitals
Common Search & ComparisonYesYes

The Remote Encounter Data Analyst primarily focuses on analyzing healthcare encounter data remotely, ensuring data accuracy and insights. The Remote Clinical Data Coordinator manages clinical trial data, overseeing data collection and compliance. While both roles require healthcare data knowledge and remote work skills, the analyst emphasizes data analysis, whereas the coordinator emphasizes data management and coordination within clinical settings.

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

To thrive as a Remote Encounter Data Analyst, you need strong analytical skills, attention to detail, and a background in health information management or a related field, often supported by a relevant degree or certification. Familiarity with data analysis tools such as SQL, Excel, electronic health record (EHR) systems, and claims processing software is typically required. Excellent communication, problem-solving abilities, and independent work ethic are valuable soft skills for this position. These skills ensure accurate data reporting, regulatory compliance, and effective collaboration with remote teams to support healthcare operations.

What is a remote encounter data analyst?

A Remote Encounter Data Analyst is a professional who works offsite (often from home) to collect, analyze, and validate healthcare encounter data. This data typically involves patient interactions and services provided, which are crucial for healthcare reporting, billing, and compliance. These analysts ensure the accuracy and completeness of data submitted to government agencies and health plans, identify data discrepancies, and help organizations meet regulatory requirements. Strong analytical skills, attention to detail, and knowledge of healthcare data standards are important for this role.

How does a remote encounter data analyst typically collaborate with healthcare providers and internal teams to ensure data accuracy?

As a Remote Encounter Data Analyst, collaboration is key to ensuring the accuracy and completeness of healthcare encounter data. You will regularly communicate with healthcare providers to clarify or resolve discrepancies in submitted data, often through secure electronic channels or scheduled meetings. Internally, you’ll work closely with compliance teams, data engineers, and quality assurance specialists to standardize data processes and implement best practices. Building strong relationships and maintaining clear communication channels helps streamline workflows and minimize errors, making your role vital to the organization's data integrity.
What are popular job titles related to Remote Encounter Data Analyst jobs in Reston, VA? For Remote Encounter Data Analyst jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Remote Encounter Data Analyst jobs in Reston, VA look for? The top searched job categories for Remote Encounter Data Analyst jobs in Reston, VA are:
What cities near Reston, VA are hiring for Remote Encounter Data Analyst jobs? Cities near Reston, VA with the most Remote Encounter Data Analyst job openings:

Data Analyst (Oracle HCM Cloud)

System One

Vienna, VA • Remote

Contractor

Medical, Dental, Vision, Life, Retirement

Re-posted 21 days ago


Job description

Data Analyst (Oracle HCM Cloud) 100% remote Pay Rate: Open to Both C2C and W2 options Position Type: Multiyear Contract We are seeking an experienced contractor to support advanced data development and modernization efforts within our HR analytics environment. This role will focus on developing complex queries and database objects across SQL Server and Oracle platforms, with a strong emphasis on sourcing, transforming, and validating Oracle HCM data to support enterprise reporting, analytics, and historical data needs. Key Responsibilities: • Develop and maintain complex SQL and database objects across SQL Server and Oracle environments. • Support HR data replication and modernization, translating legacy SQL Server logic to Oracle HCM–sourced data. • Design and implement data structures, transformations, and database objects for analytics, reporting, and downstream consumption. • Leverage Oracle Analytics tools (e.g., BI Publisher) to source, validate, and interpret Oracle HCM data and reporting logic. • Analyze Oracle HCM frontend functionality and backend data structures to ensure accurate data usage. • Partner with technical, analytics, and business stakeholders to define and validate requirements, metrics, and data logic. • Create and maintain technical requirements, data documentation, including data definitions, business rules, source-to-target mappings, data lineage, and governance artifacts. • Contribute to data quality checks, reconciliations, and cross-system issue resolution. Other duties as assigned. Required Qualifications: • Advanced SQL experience, including complex joins, analytical/window functions, and performance optimization. • Hands-on experience working with both: o SQL Server o Oracle SQL • Strong experience with Oracle HCM Cloud, including both frontend configuration concepts and backend data structures. • Experience using Oracle Analytics tools such as BI Publisher (BIP) and BICC for reporting, data extraction, or validation. • Experience working with or modernizing data from legacy HR systems such as PeopleSoft. • Solid understanding of enterprise data warehousing concepts, including fact tables and historical data design. • Proven ability to produce clear, well-structured technical documentation supporting data governance initiatives. Required Soft Skills: • Ability to work independently as a contractor and deliver on clearly defined outcomes • Strong analytical and problem-solving skills, particularly when troubleshooting data or report logic • Clear communication skills to collaborate with technical and non-technical stakeholders • Adaptability in environments with evolving requirements and frequent system changes • Attention to detail and commitment to data accuracy and quality

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

Ref: #851-Rockville-S1 #M1 #LI-VH1