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Remote Epic Analyst Jobs in Delaware (NOW HIRING)

Winaxis LLC

Data Analyst

Lewes, DE · On-site +1

As a Data Analyst at Winaxis LLC, you will be responsible for extracting, transforming, and presenting data in a meaningful way to support various projects and initiatives. This role is essential in ...

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Remote Epic Analyst information

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$20

$56

$89

How much do remote epic analyst jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for remote epic analyst in Delaware is $56.36, according to ZipRecruiter salary data. Most workers in this role earn between $40.91 and $75.05 per hour, depending on experience, location, and employer.

Can I work remotely for Epic?

Remote Epic Analysts can work remotely depending on the employer’s policies and project requirements. Many organizations that utilize Epic systems offer remote or hybrid work options, especially for roles involving system analysis, implementation, and support, provided the candidate has the necessary technical skills and certifications. Availability of remote work may vary by position and location, so it is advisable to review specific job postings for remote work opportunities.

What are the key skills and qualifications needed to thrive as a Remote Epic Analyst, and why are they important?

To thrive as a Remote Epic Analyst, you need in-depth knowledge of healthcare workflows, strong analytical skills, and Epic certification in relevant modules. Familiarity with Epic systems, EHR integration tools, ticketing platforms, and healthcare IT standards is typically required. Excellent problem-solving abilities, effective communication, and self-motivation are crucial soft skills for remote collaboration and user support. These skills ensure the efficient optimization, support, and troubleshooting of Epic systems, directly impacting patient care and organizational efficiency.

What Does a Remote Epic Analyst Do?

A remote Epic analyst career involves working to configure, modify, and troubleshoot an Epic system. Epic is a software system used to organize, store, and create electronic medical records (EMR). As a remote Epic analyst, you work from home and perform your duties via an internet connection. Your responsibilities usually include performing an analysis of the existing Epic setup. You may conduct system customization, application installation, and updates. An analyst also interacts with members of the medical facility who have questions or need guidance in the use of Epic software.

How can I make 2000 a week working from home?

A Remote Epic Analyst can increase earnings by gaining specialized certifications, improving technical skills, and working additional hours or freelance projects. Earning $2000 weekly typically requires a combination of high hourly rates, consistent workload, and possibly multiple clients or roles. Building experience and efficiency can help achieve higher income levels in remote healthcare IT roles.

What are common challenges faced by Remote Epic Analysts when supporting healthcare teams from a distance?

Remote Epic Analysts often encounter challenges such as building rapport with clinical staff and end users without in-person interaction, staying updated on evolving workflows, and troubleshooting issues effectively through virtual communication. Proactively scheduling regular check-ins, utilizing collaboration tools, and maintaining thorough documentation are essential strategies for overcoming these challenges. Additionally, strong communication skills and adaptability help ensure timely and accurate support for healthcare teams across different locations.

What is the difference between Remote Epic Analyst vs Remote Epic Developer?

AspectRemote Epic AnalystRemote Epic Developer
CredentialsEpic Certification, Healthcare IT experienceEpic Certification, Software development skills
Work EnvironmentHealthcare organizations, IT departmentsHealthcare IT teams, software development settings
Employer & IndustryHospitals, clinics, healthcare providersHealthcare IT vendors, hospitals, clinics
Common Search & ComparisonFocuses on system analysis & implementationFocuses on software coding & customization

The Remote Epic Analyst primarily analyzes, implements, and supports Epic systems within healthcare organizations, requiring strong analytical skills and Epic certifications. In contrast, the Remote Epic Developer concentrates on coding, customizing, and developing Epic applications, often requiring software development expertise. Both roles are vital in healthcare IT but differ in their focus and responsibilities.

Can an Epic analyst work from home?

Yes, many Epic analysts can work from home, especially if their employer offers remote work options. The role often involves using electronic health record systems, requiring strong technical skills and access to secure networks, which can be managed remotely with proper tools and certifications. However, some positions may require on-site presence for training or collaboration.

What is a Remote Epic Analyst?

A Remote Epic Analyst is a healthcare IT professional who specializes in configuring, supporting, and optimizing the Epic electronic health record (EHR) system while working from a remote location. They collaborate with clinical and administrative staff to customize Epic modules to fit organizational workflows, troubleshoot system issues, and implement software updates. Remote Epic Analysts often participate in training users, maintaining system documentation, and ensuring data security and compliance, all while communicating virtually with teams and stakeholders.

What does an Epic analyst get paid?

An Epic analyst's salary typically ranges from $70,000 to $110,000 annually, depending on experience, location, and certifications. Senior roles or those with specialized skills in Epic modules may earn higher compensation, and some positions offer additional benefits such as bonuses or flexible schedules.
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Remote Epic Analyst jobs near you
Data Analyst

Data Analyst

Winaxis LLC

Lewes, DE • On-site, Remote

Full-time

Re-posted 3 hours ago

Job description

Description

Join Winaxis LLC as a Data Analyst and play a crucial role in analyzing and interpreting complex data sets to drive key business decisions. As a Data Analyst at Winaxis LLC, you will be responsible for extracting, transforming, and presenting data in a meaningful way to support various projects and initiatives. This role is essential in providing valuable insights that will directly impact the company's strategic direction and growth.

As a Data Analyst at Winaxis LLC, you will work on a variety of projects ranging from market research and trend analysis to performance tracking and forecasting. Your analytical skills will be put to the test as you uncover patterns, trends, and correlations within the data to help optimize processes and improve overall business performance. This position offers a great opportunity to work remotely and collaborate with cross-functional teams to drive data-informed decisions.

Responsibilities:
  • Collect, clean, and validate data to ensure accuracy and reliability.
  • Analyze large datasets using statistical methods and data visualization techniques.
  • Interpret data and present findings to key stakeholders in a clear and concise manner.
  • Develop and maintain reports, dashboards, and data visualizations to track KPIs.
  • Identify trends, patterns, and insights to support business objectives.
  • Collaborate with teams to define data requirements for various projects.
  • Conduct ad-hoc analysis to address specific business questions and challenges.
  • Stay updated on industry trends and best practices in data analysis.
Requirements:
  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or related field.
  • Proficiency in data analysis tools such as SQL, Excel, Python, or R.
  • Experience with data visualization tools like Tableau, Power BI, or similar.
  • Strong analytical and problem-solving skills with attention to detail.
  • Ability to work independently and collaborate effectively in a team environment.
  • Excellent communication skills to convey complex findings to non-technical stakeholders.
  • Knowledge of statistical methods and techniques for data analysis.
  • Experience in interpreting and analyzing large datasets to extract insights.