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Remote Data Analyst Jobs in Lexington, SC (NOW HIRING)

Participate in remote assignments or attend on-site sessions when required * Follow project ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Participate in remote assignments or attend on-site sessions when required * Follow project ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Experience in Big Data and data analytics * Experience with database (i.e., SAS, Teradata, Tableau, SQL, Power BI ) Reporting Structure: * Reports to the Sr. Director, Trade Relations #LI-Remote $88 ...

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Remote Data Analyst information

See Lexington, SC salary details

$29.1K

$70.7K

$116.4K

How much do remote data analyst jobs pay per year?

As of Jul 15, 2026, the average yearly pay for remote data analyst in Lexington, SC is $70,736.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,500.00 and $83,000.00 per year, depending on experience, location, and employer.

Is there a high demand for data analysts?

The demand for data analysts remains strong across various industries due to the increasing reliance on data-driven decision making. Organizations seek professionals skilled in data visualization, statistical analysis, and tools like Excel, SQL, and Python, leading to steady job growth in this field.

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

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

Can I do a data analyst job remotely?

Yes, many data analyst positions are available for remote work, especially those that involve analyzing data, creating reports, and using tools like Excel, SQL, and data visualization software. Remote data analysts typically need strong communication skills and proficiency with relevant software to collaborate effectively with teams online.

Is 40 too late for data science?

For a remote data analyst role, age is generally not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, regardless of age. Continuous learning and building a strong portfolio can help late entrants compete effectively in the field.

How do Remote Data Analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

What does a Remote Data Analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

What is the difference between Remote Data Analyst vs Remote Data Scientist?

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

Will AI replace data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding context, and communicating findings, which currently require human judgment. Data analysts will likely evolve to work alongside AI, focusing more on complex analysis, strategy, and decision-making that AI cannot fully replicate.

What Does a Remote Data Analyst Do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

What are the most commonly searched types of Data Analyst jobs in Lexington, SC? The most popular types of Data Analyst jobs in Lexington, SC are:
What job categories do people searching Remote Data Analyst jobs in Lexington, SC look for? The top searched job categories for Remote Data Analyst jobs in Lexington, SC are:
What cities near Lexington, SC are hiring for Remote Data Analyst jobs? Cities near Lexington, SC with the most Remote Data Analyst job openings:
Infographic showing various Remote Data Analyst job openings in Lexington, SC as of July 2026, with employment types broken down into 4% Internship, 88% Full Time, 4% Temporary, and 4% Contract. Highlights an 100% Remote job distribution, with an average salary of $70,736 per year, or $34 per hour.
API Developer & Application Analyst - Epic - Contract - Remote

API Developer & Application Analyst - Epic - Contract - Remote

SUNSHINE ENTERPRISE USA LLC

Columbia, SC • On-site, Remote

Full-time

Re-posted 12 days ago


Job description


API Developer & Application Analyst - Epic
Location:
Remote
Interview Process: 1 round, Virtual/Online
Duration: 12 MonthsEmployment Type: ContractExperience Required: 08+ Years
Candidate location: No SC residency required. Open to nationwide candidates.
Project Scope:
MUSC is seeking an experienced API Developer & Application Analyst to support the Enterprise Epic Research Team. This role focuses on building secure healthcare integrations, developing APIs, validating and analyzing healthcare data, and supporting Epic EHR research initiatives.
The ideal candidate will have strong experience with Epic Bridges, Cloverleaf, HL7, FHIR, healthcare integrations, and Epic technical build activities.
Key Responsibilities:
• Design, develop, configure, and maintain complex Epic research interfaces and integrations.
• Build and support secure API integrations between Epic, REDCap, OnCore, SPARC, and third-party applications.
• Develop HL7 and FHIR-based interfaces to securely exchange healthcare data.
• Create secure data structures, perform data validation, and support large-scale healthcare data analysis.
• Work closely with Epic Security teams to ensure compliance and secure clinical data exchange.
• Support Epic Research workflows and advanced Epic clinical build activities.
• Collaborate with OnCore and SPARC development teams to implement FHIR-based clinical trial integrations.
• Troubleshoot, test, maintain, and optimize enterprise healthcare interfaces.
• Support ongoing application development, enhancement, and integration initiatives.
• Mentor team members and contribute to knowledge sharing across the organization.
Required Skills & Experience:
• Epic Bridges Certification (Mandatory)
• Cloverleaf Interface Engine Experience
• 7+ Years of Epic Technical Build Experience
• HL7 Interface Development
• FHIR API Development & Integration
• Healthcare Systems Integration Experience
• Web Services & API Development Experience
• Data Validation and Data Analysis Experience
Preferred Skills:
• Epic Research Experience
• REDCap Integration Experience
• OnCore Integration Experience
• SPARC Integration Experience
• Healthcare Research Systems Experience
• Electronic Health Record (EHR) Integration Experience
Technical Environment
  • Epic EHR
  • Epic Bridges
  • Cloverleaf
  • HL7
  • FHIR
  • REST APIs
  • REDCap
  • OnCore
  • SPARC
  • HealthcareData Integration

Education:
Bachelor's Degree or equivalent work experience.
Certification:
Epic Bridges Certification