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Remote Data Analyst Jobs in Columbia, 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 ...

The Senior, Compliance & Monitoring reviews and validates data integrity, collaborates with program ... remote, office, or BDO offices as required Ability to sit for prolonged periods and lift up to 15 ...

Current remote and field-based Unum employees may apply and will be considered in accordance with ... data assets for ad-hoc analyses and larger studies. Apply validation, aggregation, and ...

New

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 ...

Operations Analyst I

Columbia, SC · On-site +1

$45K - $80K/yr

If the role is remote, there may be occasions that you are requested to come to the office based on ... DATA TREND ANALYSIS & INTERPRETATION - Required * FINANCIAL/BUDGET ANALYSIS - Required

Operations Analyst I

Columbia, SC · On-site +1

$45K - $80K/yr

If the role is remote, there may be occasions that you are requested to come to the office based on ... DATA TREND ANALYSIS & INTERPRETATION - Required * FINANCIAL/BUDGET ANALYSIS - Required

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Showing results 1-20

Remote Data Analyst information

See Columbia, SC salary details

$30.8K

$74.8K

$123.1K

How much do remote data analyst jobs pay per year?

As of Aug 4, 2026, the average yearly pay for remote data analyst in Columbia, SC is $74,775.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,600.00 and $87,800.00 per year, depending on experience, location, and employer.

Can you work remotely as a remote data analyst?

Remote data analysts can often work from home or any location with internet access, depending on the employer’s policies. Many companies offer remote positions that require skills in data analysis tools like Excel, SQL, or Python, and may involve flexible schedules. However, some roles may require occasional on-site visits or specific time zone availability.

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, 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 get remote jobs as a remote data analyst?

Remote data analyst positions are widely available and often require skills in data analysis tools like Excel, SQL, and Python. Many companies offer remote roles with flexible schedules, and candidates typically need a strong analytical background and good communication skills.

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.

Is data analyst still relevant in 2026?

Data analysts remain relevant in 2026 as organizations continue to rely on data-driven decision-making. The role increasingly involves skills in data visualization, SQL, and tools like Python or R, with demand driven by the growth of big data and analytics technologies.

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 Columbia, SC? The most popular types of Data Analyst jobs in Columbia, SC are:
What cities near Columbia, SC are hiring for Remote Data Analyst jobs? Cities near Columbia, SC with the most Remote Data Analyst job openings:
Infographic showing various Remote Data Analyst job openings in Columbia, SC as of July 2026, with employment types broken down into 43% Full Time, 14% Part Time, and 43% Contract. Highlights an 14% In-person, and 86% Remote job distribution, with an average salary of $74,775 per year, or $35.9 per hour.

API Developer & Application Analyst - Epic - Contract - Remote

SUNSHINE ENTERPRISE USA LLC

Columbia, SC • Remote

Full-time

Re-posted 2 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