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Clinical Informatics Data Analyst information

What does a clinical informatics data analyst do?

A Clinical Informatics Data Analyst is responsible for collecting, analyzing, and interpreting healthcare data to improve patient care and operational efficiency. They work closely with clinical staff and IT teams to develop reports, dashboards, and data-driven insights that inform decision-making. Their duties often include cleaning and organizing data, ensuring data integrity, and supporting electronic health record (EHR) systems. They play a vital role in identifying trends, optimizing workflows, and ensuring compliance with healthcare regulations.

How does a clinical informatics data analyst collaborate with clinicians and IT teams to improve healthcare outcomes?

Clinical Informatics Data Analysts frequently act as a bridge between clinical staff and IT departments. They work closely with clinicians to understand workflow needs and data challenges, then translate those requirements into technical solutions or data reports. Regular meetings, project updates, and cross-functional teams are common, allowing the analyst to ensure that the data systems effectively support patient care and operational goals. This collaboration is vital for implementing new technologies, optimizing electronic health records, and ensuring data-driven decision-making in healthcare settings.

What is the difference between Clinical Informatics Data Analyst vs Clinical Data Coordinator?

AspectClinical Informatics Data AnalystClinical Data Coordinator
CredentialsBachelor's in health informatics, data analysis, or related field; certifications like CPHIMS beneficialBachelor's in health sciences, nursing, or related field; often requires experience in clinical data management
Work EnvironmentHospitals, clinics, health IT companies, research institutionsHospitals, clinics, healthcare facilities, research settings
Primary FocusAnalyzing clinical data, developing reports, supporting informatics projectsManaging and maintaining clinical data, data entry, quality assurance

The Clinical Informatics Data Analyst focuses on analyzing and interpreting clinical data to support healthcare decisions, while the Clinical Data Coordinator manages and ensures the accuracy of clinical data entry and maintenance. Both roles work within healthcare settings but have different primary responsibilities related to data handling and analysis.

What skills and qualifications are needed to thrive as a clinical informatics data analyst?

To thrive as a Clinical Informatics Data Analyst, you typically need a background in healthcare, data analysis, and informatics, often supported by a degree in health informatics, data science, or a related field. Experience with electronic health record (EHR) systems, SQL, data visualization tools like Tableau or Power BI, and relevant certifications such as Certified Health Data Analyst (CHDA) are also valuable. Strong problem-solving, attention to detail, and effective communication skills enable analysts to interpret data accurately and collaborate with clinical teams. These competencies are essential for transforming complex healthcare data into actionable insights that improve patient outcomes and operational efficiency.
What are popular job titles related to Clinical Informatics Data Analyst jobs in Oklahoma? For Clinical Informatics Data Analyst jobs in Oklahoma, the most frequently searched job titles are:
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Clinical Informatics Data Analyst jobs near you

Business Intelligence - Director Enterprise Data & Analytics

CommunityCare HMO, Inc.

Tulsa, OK • On-site

$180 - $240/hr

Other

Posted 24 days ago

Job description

Overview

Tulsa, OK, USA

The Director Enterprise Data & Analytics is responsible for leading the organization’s data strategy, analytics, reporting, governance, and data engineering functions. This role partners across executive, technical, financial, clinical, and operational teams to deliver trusted data, scalable analytics, reporting modernization, and AI-enabled decision-making support that advances operational excellence, regulatory confidence, and long-term business success.

Responsibilities
  • Oversee enterprise analytics, business intelligence, corporate reporting, data governance, data quality, and data engineering.
  • Oversee modern data platforms, enterprise data architecture, self-service analytics, predictive analytics, automation, and AI readiness.
  • Develop, execute, and maintain the Enterprise Data & Analytics strategy by establishing policies, standards, and best practices for analytics, reporting, governance, and data engineering while advancing data-driven decision-making and evaluating emerging technologies.
  • Lead, develop, and mentor managers and technical professionals while fostering a culture of innovation, accountability, collaboration, customer service, and continuous learning.
  • Serve as the primary business partner to executive leadership on enterprise data and business intelligence initiatives, while advancing innovation, automation, advanced analytics, and AI-enabled decision support.
  • Collaborate across Finance, IT, Clinical Operations, Medical Management, Network Management, Compliance, and other business areas to align enterprise analytics priorities.
  • Provide strategic leadership for modernization initiatives involving cloud technologies, enterprise reporting, data architecture, and analytics; partner with IT to ensure enterprise systems support scalable reporting and analytics.
  • Manage departmental budgets, establish performance metrics, prioritize resources, and ensure successful execution of strategic initiatives.
  • Partner with data governance, compliance, and security teams to ensure reporting solutions meet HIPAA, CMS, and state regulatory requirements.
  • Perform other related job duties as required or assigned.
Qualifications
  • Ability to translate complex healthcare data into clear, meaningful insights for non-technical audiences.
  • Ability to deliver trusted, timely, and actionable information.
  • Proven success in the execution of enterprise data modernization initiatives.
  • Ability to improve reporting consistency, data quality, and stakeholder confidence.
  • Proven success in increasing adoption of self-service analytics and modern business intelligence.
  • Ability to develop a high-performing Enterprise Data & Analytics organization.
  • Successful completion of Health Care Sanctions background check.
Education/Experience
  • Bachelor's degree in Information Systems, Computer Science, Business Analytics, Data Science, Healthcare Administration, Finance, Statistics, Applied Mathematics, or related field required; Master’s degree preferred.
  • Seven years of progressive experience in enterprise analytics, business intelligence, data engineering, healthcare analytics, or related disciplines.
  • Three years of leadership experience managing analytical, reporting, engineering, or business intelligence teams.
  • Extensive hands-on experience with Power BI, including data modeling, DAX, security, and enterprise deployments.
  • Strong understanding of healthcare data domains (claims, eligibility, providers, quality, finance, utilization).
  • Demonstrated experience leading enterprise technology initiatives, organizational strategy, and cross-functional teams.
  • Advance enterprise data maturity and governance.
  • Three years of managed healthcare experience preferred.
  • Prior Executive and Board reporting experience preferred.
  • Prior enterprise data modernization and governance experience preferred.

CommunityCare is an equal opportunity at will employer and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation or national origin

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