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Healthcare Data Analytics Remote Jobs (NOW HIRING)

Symetra

Healthcare Data Analyst - Remote

$29.83 - $49.68/hr

Data reporting, analytics, and mining. Coordinate with relevant departments to determine areas for ... a remote setting that is related to medical coding, healthcare (hospital, managed care, medical ...

DivIHN

Senior Healthcare Data & Systems Analyst - Remote

$88K - $111K/yr

Senior Healthcare Data & Systems Analyst - Remote Duration: 10 Months Location: Remote Onsite presence during the first week is required. Position Summary * Client is seeking an adaptable, highly ...

MM International

Healthcare Data Analyst

Chandler, AZ · Remote

Remote Hours: 8 AM - 5 PM EST Start Date: June 27 Length: 12 months CTH (Contract-to-Hire ... Collaborate with business and analytics teams to understand and solve data challenges. * Develop ...

Sentara

Senior Healthcare Data Analyst - Remote

Centre, AL · Remote

$81K - $102K/yr

Sentara is hiring a Senior Healthcare Data Analyst! This position is fully remote. Overview The ... Promotes self-service analytics for customer adoption, understanding and use of data. Supports ...

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How much do healthcare data analytics remote jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for healthcare data analytics remote in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

What is healthcare data analytics in a remote job setting?

Healthcare data analytics in a remote job involves collecting, processing, and interpreting health-related data to help improve patient care, reduce costs, and streamline healthcare operations, all while working from a location outside of a traditional office or healthcare facility. Analysts use tools like SQL, Python, and data visualization platforms to identify trends and provide insights to healthcare organizations. Remote roles often require strong communication and collaboration skills to work effectively with teams across different locations. This job is essential for making data-driven decisions in healthcare, supporting everything from clinical research to policy planning.

What are the key skills and qualifications needed to thrive as a Healthcare Data Analytics Remote professional, and why are they important?

To thrive as a Healthcare Data Analytics Remote professional, you need expertise in data analysis, statistics, and healthcare systems, often supported by a degree in health informatics, statistics, or a related field. Familiarity with tools such as SQL, Python, R, and data visualization platforms like Tableau, as well as knowledge of HIPAA compliance, is typically required. Strong problem-solving, attention to detail, and effective communication skills help you interpret data and present actionable insights to stakeholders. These abilities are crucial for transforming complex healthcare data into insights that drive better patient outcomes and operational efficiency.

What are some common challenges faced by professionals in remote healthcare data analytics roles?

Professionals in remote healthcare data analytics often encounter challenges such as ensuring data security and patient privacy while accessing sensitive health information from various locations. Collaboration with clinicians, IT teams, and other analysts can be more complex in a virtual environment, requiring strong communication and project management skills. Additionally, navigating disparate healthcare data systems and staying updated with industry regulations like HIPAA are ongoing responsibilities. Despite these challenges, remote roles offer opportunities to work with diverse teams and cutting-edge technologies in a flexible setting.
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Healthcare Data Analytics Remote jobs near you
Infographic showing various Healthcare Data Analytics Remote job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 96% Full Time, 1% Part Time, 1% Temporary, and 1% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.

Healthcare Data & Analytics Project Manager

Siritech Solutions Corp

Austin, TX • On-site, Remote

$51.25 - $69.50/hr

Full-time

Posted 16 days ago

Job description



Healthcare Data & Analytics Project Manager Enterprise Data Project Manager:

The client is seeking an experienced Healthcare Data & Analytics Project Manager to support enterprise data engineering and AI adoption initiatives.The ideal candidate will lead complex technical projects involving data modernization, analytics, cloud platforms, and AI-driven transformation programs.

This role is responsible for planning, coordination, business analysis, project monitoring, stakeholder communication, requirements gathering, and implementation oversight for enterprise-scale data and analytics solutions. The candidate will work closely with technical project managers, data engineers, architects, business stakeholders, and AI teams to ensure successful delivery of data-driven initiatives.

The position requires strong leadership experience managing healthcare data initiatives, enterprise analytics programs, cloud-based projects, and cross-functional technical teams. Candidates should possess excellent communication, budgeting, planning, and stakeholder management skills, along with familiarity with healthcare compliance and modern enterprise technologies.

Key Responsibilities:

  • Lead enterprise data, analytics, cloud, and AI-driven technical projects from planning through delivery.

  • Coordinate cross-functional teams including architects, data engineers, developers, analysts, vendors, and business stakeholders.

  • Manage requirements gathering, business analysis, project planning, implementation, and status reporting activities.

  • Support healthcare data engineering and AI adoption initiatives within enterprise environments.

  • Define project scope, objectives, milestones, timelines, budgets, and success metrics.

  • Monitor project risks, dependencies, deliverables, and resource allocation activities.

  • Facilitate communication between business, technical, and executive stakeholders.

  • Support data architecture, data modeling, data warehousing, and cloud modernization initiatives.

  • Maintain project documentation including project plans, schedules, charters, and lessons learned.

  • Support issue resolution, change management, and project governance processes.

  • Collaborate with technical teams on platform modernization, analytics, and AI/ML initiatives.

  • Ensure compliance with healthcare governance, security, and regulatory requirements.

Additional Responsibilities:

  • Support AI, advanced analytics, and digital transformation programs.

  • Assist with forecasting, budgeting, and financial status reporting.

  • Utilize project management tools such as Jira, Azure DevOps, MS Project, and Smartsheet.

  • Facilitate workshops, executive updates, and stakeholder presentations.

  • Promote collaboration across technical and business teams.

  • Support SDLC, enterprise architecture, and governance best practices.

Required Skills:

  • 15+ years of experience managing enterprise technical projects or programs.

  • Strong experience leading data analytics, data warehousing, and cloud-based initiatives.

  • Experience managing business intelligence, big data, and enterprise analytics programs.

  • Experience supporting healthcare data initiatives and regulated environments.

  • Knowledge of healthcare interoperability standards such as FHIR, CCDA, and HL7 preferred.

  • Working knowledge of SQL and database technologies.

  • Strong leadership and stakeholder management skills.

  • Experience managing cross-functional teams, vendors, budgets, and timelines.

  • Strong communication skills with ability to present technical concepts to executive audiences.

  • Experience with Jira, Azure DevOps, MS Project, or Smartsheet.

  • Understanding of SDLC, enterprise architecture, governance, and cloud technologies.

  • Experience supporting AI, advanced analytics, or digital transformation initiatives.

  • Strong consulting, facilitation, and organizational skills.

Qualifications & Certifications:

  • Bachelors degree in Information Systems, Computer Science, Business, Healthcare IT, or related field preferred.

  • PMP Certification is Mandatory and must be listed on the resume.

  • PgMP, PMI-ACP, SAFe, or similar certifications preferred.

  • TOGAF, Cloud Solution Architecture, or Azure/AWS/GCP certifications required/preferred.

  • Healthcare industry experience is mandatory.

Additional Information:

  • Location: Austin, Texas (Hybrid 2 Days Onsite / 3 Days Remote)

  • Local Texas candidates only.

  • Interview Mode: Microsoft Teams