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Remote Data Analysis Jobs in Columbia, SC (NOW HIRING)

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

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 ...

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

... analysis into meaningful insights that support better decision-making across the organization. This ... Current remote and field-based Unum employees may apply and will be considered in accordance with ...

Sr. Data Engineer - CX Analytics

Columbia, SC · Remote

$105K - $127K/yr

We are seeking a Senior Data Engineer to join the CX Analytics team within our Customer Experience ... Current remote and field-based Unum employees may apply and will be considered in accordance with ...

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Remote Data Analysis information

What are the key skills and qualifications needed to thrive as a remote data analyst?

To thrive as a Remote Data Analyst, you need strong analytical skills, statistical knowledge, and a background in fields like mathematics, statistics, or computer science. Proficiency with data analysis tools such as SQL, Python, R, and visualization platforms like Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management help remote analysts present insights clearly and stay productive without direct supervision. These skills and qualities ensure accurate data-driven decisions and effective remote collaboration with stakeholders.

What is the difference between Remote Data Analysis vs Remote Data Entry?

AspectRemote Data AnalysisRemote Data Entry
Required SkillsData interpretation, statistical tools, analytical skillsTyping speed, accuracy, basic computer skills
Tools UsedExcel, SQL, data visualization softwareSpreadsheets, data entry platforms
Work EnvironmentAnalytical tasks, report creation, data insightsData input, database updating, record management
Common CertificationsData analysis certifications, Excel proficiencyNone typically required

Remote Data Analysis involves interpreting data, creating reports, and providing insights using analytical tools, while Remote Data Entry focuses on inputting and managing data accurately. Both roles are performed remotely and require computer skills, but Data Analysis demands analytical expertise and familiarity with data tools, whereas Data Entry emphasizes speed and accuracy in data input tasks.

What is remote data analysis?

Remote data analysis refers to the process of examining, interpreting, and drawing insights from data using digital tools, while working from a location outside of a traditional office setting. Professionals in this field utilize statistical software, databases, and visualization tools to analyze large datasets and help organizations make informed decisions. Remote data analysts often collaborate with team members and stakeholders virtually, ensuring that data-driven strategies are implemented effectively. This role requires strong analytical skills, attention to detail, and the ability to communicate findings clearly.

How do remote data analysts typically collaborate with team members and stakeholders?

Remote data analysts often use a combination of communication and project management tools—such as Slack, Microsoft Teams, and Zoom—to stay connected with colleagues and stakeholders. Regular virtual meetings, shared dashboards, and collaborative platforms enable them to discuss findings, gather requirements, and provide updates on ongoing projects. Clear documentation and proactive communication are essential to ensure alignment, especially when working across different time zones or departments. Building strong relationships with team members virtually can help streamline workflows and facilitate effective decision-making.
What are the most commonly searched types of Data Analysis jobs in Columbia, SC? The most popular types of Data Analysis jobs in Columbia, SC are:
What are popular job titles related to Remote Data Analysis jobs in Columbia, SC? For Remote Data Analysis jobs in Columbia, SC, the most frequently searched job titles are:
What cities near Columbia, SC are hiring for Remote Data Analysis jobs? Cities near Columbia, SC with the most Remote Data Analysis job openings:
Infographic showing various Remote Data Analysis job openings in Columbia, SC as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

API Developer & Application Analyst - Epic - Contract - Remote

SUNSHINE ENTERPRISE USA LLC

Columbia, SC • 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 Months Employment Type: Contract Experience 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 Healthcare Data Integration Education: Bachelor's Degree or equivalent work experience. Certification: Epic Bridges Certification