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Clinical Data Analytics Analyst Jobs (NOW HIRING)

Xforia, Inc.

Data Analytics & Technical Analyst"

Data Analytics & Technical Analyst Location: Remote Position Duration: 6+ Months About the Role * This Data & Analytics Technical Analyst will be responsible for the investigation, resolution ...

nLeague

DOC - Data Analyst 4

Richmond, VA · On-site

... clinical decision support, coding, and data analytics. * Deep understanding of medical vocabularies from both a clinical viewpoint and informatics perspective. * Extensive experience pulling data out ...

Jobtailor

NY · On-site

Build and maintain reports and dashboards using Power BI and other reporting tools * Assist with analyzing operational, clinical, and financial data * Support recurring reporting and ad hoc data ...

NuView Analytics

Data Analyst

Denver, CO · On-site +1

$80K - $100K/yr

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 data science. Our clients are growth ...

Altais, Inc.

Data Analyst Lead

Experience with healthcare interoperability standards, clinical data models, and data governance frameworks. What Success Looks Like In this role, you will: * Deliver trusted analytics that influence ...

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Clinical Data Analytics Analyst information

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How much do clinical data analytics analyst jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for clinical data analytics analyst in the United States is $36.36, according to ZipRecruiter salary data. Most workers in this role earn between $29.33 and $42.07 per hour, depending on experience, location, and employer.

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Infographic showing various Clinical Data Analytics Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $75,625 per year, or $36.4 per hour.

Clinical Data & Applications Analyst II

Chantilly, VA • On-site

Choice. Respect. independence. (CRi)
See more jobs at Choice. Respect. independence. (CRi)external

Full-time

Re-posted 15 hours ago

Key responsibilities

  • Support the management, optimization, and implementation of clinical technology applications, focusing on EHR systems.

  • Support the daily operation, maintenance, configuration, and updates of the organization's EHR software.

  • Partner with teams to develop training, support users on EHR and AI-enabled functionality, and create technical documentation.

Job description

Clinical Data & Applications Analyst - Onsite role based in Chantilly, VA

Position Summary

CRi is seeking a Clinical Data & Applications Analyst to support the management, optimization, and implementation of our clinical technology applications, with a primary focus on our Electronic Health Record (EHR) systems.

This role partners closely with Clinical Leadership, Training, MIS, and other internal and external stakeholders to improve how clinical systems, data, reporting, and emerging technologies are used across the organization. The Clinical Data & Applications Analyst will play an important role in advancing our EHR capabilities, integrating AI-supported documentation processes, improving data quality, and developing efficient technology-enabled workflows.

Key Responsibilities

  • Partner with the Chief Clinical Officer to support the back-end build and design of internal and external reports and compile data required for routine reporting.

  • Support the daily operation, maintenance, configuration, and updates of the organization's EHR software.

  • Develop and implement strategies to improve the organization's use of its EHR and related clinical applications.

  • Ensure AI-generated clinical documentation maps accurately and appropriately into the EHR.

  • Evaluate the effectiveness of AI tools in reducing documentation errors and documentation time.

  • Partner with Training and MIS teams to develop training and support users on EHR and AI-enabled functionality.

  • Maintain data dictionaries and documentation for clinical applications.

  • Create and improve workflows utilizing Microsoft SharePoint and Teams.

  • Conduct audits of clinical systems, data inputs, outputs, and processes to support data integrity and quality.

  • Provide consultation, troubleshooting, and application support as needed.

  • Coordinate with departments across the organization to promote effective communication and interoperability between systems.

  • Assist with research and evaluation of emerging technologies that may improve clinical operations and data management.

  • Prepare user documentation, system guidance, and other technical resources.

  • Perform other duties as assigned.

Knowledge, Skills & Abilities

The successful candidate will bring:

  • Basic literacy and understanding of Artificial Intelligence (AI) and its application within business or clinical environments.

  • Knowledge of interoperability and data exchange between software systems.

  • Knowledge of data administration principles, practices, policies, and standards.

  • Understanding of data definition, modeling, logical design, database design, and quality control.

  • Experience working with data modeling tools and relational databases.

  • Strong analytical skills with the ability to gather, organize, analyze, and communicate data in multiple formats.

  • Strong problem-solving and critical-thinking skills.

  • Ability to research and evaluate new information technologies.

  • Ability to translate complex technical terminology into clear, understandable concepts for non-technical audiences.

  • Strong presentation and communication skills, including the ability to brainstorm, present, discuss, and support recommendations.

  • Ability to work effectively with stakeholders representing different professional perspectives.

  • Strong organizational, project coordination, and prioritization skills.

  • Ability to establish and maintain effective business relationships.

  • Ability to help stakeholders resolve issues involving cross-departmental data sharing, usage conflicts, and data inconsistencies.

  • Ability to develop clear user and system documentation.

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