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Remote Data Analytics Fall Internship Jobs in Columbia, SC

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 ...

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 ...

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 ...

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Remote Data Analytics Fall Internship information

See Columbia, SC salary details

$11

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$38

How much do remote data analytics fall internship jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for remote data analytics fall internship in Columbia, SC is $20.82, according to ZipRecruiter salary data. Most workers in this role earn between $16.01 and $22.69 per hour, depending on experience, location, and employer.

What is a remote data analytics fall internship?

A Remote Data Analytics Fall Internship is a temporary, typically part-time position offered during the fall semester that allows students or recent graduates to work on data analytics projects from a remote location. Interns gain hands-on experience analyzing data, creating reports, and using analytical tools while collaborating with a team virtually. This internship helps individuals build valuable skills in data analysis, communication, and problem-solving, often serving as a pathway to full-time roles in data science or analytics.

What are the key skills and qualifications needed to thrive as a remote data analytics fall intern?

To thrive as a Remote Data Analytics Fall Intern, you need strong analytical abilities, proficiency in statistics, and foundational knowledge of data analysis, typically gained through coursework in data science, mathematics, or related fields. Familiarity with tools such as Excel, SQL, Python, R, and data visualization platforms like Tableau or Power BI is common, and basic certification in analytics or programming can be beneficial. Excellent communication, time management, and problem-solving skills help interns stand out, especially in a remote environment. These skills and qualities are crucial for effectively analyzing data, collaborating virtually, and delivering actionable insights to support business decisions.

What are some common challenges interns face during a remote data analytics fall internship, and how can they overcome them?

One common challenge is staying connected and communicating effectively with team members when working remotely. Interns may also find it difficult to access data or tools due to security protocols or lack of familiarity with remote platforms. To overcome these challenges, it's important to proactively schedule regular check-ins with your supervisor, ask for clear documentation, and leverage collaborative tools like Slack or Microsoft Teams. Building strong virtual relationships and being diligent about time management can also help ensure a productive and rewarding remote internship experience.

What is the difference between Remote Data Analytics Fall Internship vs Remote Data Analyst?

AspectRemote Data Analytics Fall InternshipRemote Data Analyst
CredentialsTypically pursuing or recent graduate in data-related fieldBachelor's or higher in data science, statistics, or related field
Work EnvironmentInternship program, often part-time or project-basedFull-time or part-time professional role
Employer UsageInternship programs in tech, finance, healthcare, etc.Established companies, startups, consulting firms
Search IntentLearning, gaining experience, entry-level opportunitiesPerforming data analysis, reporting, decision support

The Remote Data Analytics Fall Internship is an entry-level, temporary position designed for students or recent graduates to gain hands-on experience. In contrast, a Remote Data Analyst is a full-time professional role requiring more experience and responsibilities. Internships focus on learning and skill development, while data analyst roles involve ongoing analysis and decision-making support.

What are popular job titles related to Remote Data Analytics Fall Internship jobs in Columbia, SC?

For Remote Data Analytics Fall Internship jobs in Columbia, SC, the most frequently searched job titles are:

What job categories do people searching Remote Data Analytics Fall Internship jobs in Columbia, SC look for?

The top searched job categories for Remote Data Analytics Fall Internship jobs in Columbia, SC are:

What cities near Columbia, SC are hiring for Remote Data Analytics Fall Internship jobs?

Cities near Columbia, SC with the most Remote Data Analytics Fall Internship job openings:

Infographic showing various Remote Data Analytics Fall Internship job openings in Columbia, SC as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $43,305 per year, or $20.8 per hour.

SQL Database Administrator - Contract - Remote

SUNSHINE ENTERPRISE USA LLC

Columbia, SC • Remote

$46.25 - $57.75/hr

Contractor

Re-posted 13 days ago


Job description

SQL Database Administrator Location: Remote Interview Process: One round of Virtual Interviews Duration: 12 Months Employment Type: Contract Experience Required: 05+ Years Candidate location: Candidates MUST be a CURRENT resident in the Eastern Time zone. No relocation. Project Scope: The Database Administrator (Intermediate) will support enterprise-level reporting, analytics, and data management activities within a government healthcare environment.

This role focuses on designing, building, maintaining, and optimizing reports and dashboards using SQL, MySQL, and Power BI while working with large structured and unstructured datasets. The position requires strong analytical skills, attention to detail, and the ability to translate business needs into actionable data insights. Key Responsibilities: Reporting & Dashboard Development Design, build, maintain, and modify standard, ad-hoc, and scheduled reports using SQL and MySQL Develop and manage interactive dashboards using Power BI Extract, transform, and analyze data from multiple heterogeneous sources Work with large-scale datasets to generate business insights and reporting solutions Data Analysis & Insights Perform trend analysis, performance analysis, and predictive forecasting Apply data analytics techniques to support decision-making processes Interpret complex datasets and translate findings into meaningful insights for stakeholders Performance & Business Analytics Utilize performance metrics and analytics tools to build operational and strategic dashboards Support predictive and descriptive analytics initiatives Identify data patterns, anomalies, and opportunities for process improvement Stakeholder Support & Consultation Provide guidance to business users on metrics, reporting structures, and data interpretation Collaborate with stakeholders to define reporting requirements and KPI definitions Offer consultation on effective use of data for business decision-making Documentation & Training Develop and maintain detailed documentation for reporting processes, data sources, and workflows Train end users and team members on reporting tools, dashboards, and analytics best practices Ensure proper knowledge transfer for all reporting solutions developed Data Management & Optimization Ensure accuracy, integrity, and efficiency of data extraction and reporting processes Optimize SQL queries and reporting performance for large datasets Maintain and improve existing reporting systems and data pipelines General Responsibilities Manage multiple priorities and deliverables effectively Work independently in ambiguous environments and define clear reporting requirements Collaborate with technical and non-technical teams across the organization Ensure compliance with government data standards and reporting guidelines Required Skills & Experience: 3+ years of experience in SQL development and querying 3+ years of experience in Power BI development 3+ years of experience working with large datasets in a government or regulated environment 3+ years of experience with Excel for data analysis and reporting Experience with Electronic Health Records (EHR) systems Knowledge of medical terminology Preferred Skills: Health Information Exchange (HIE) experience HL7 messaging standards Experience with tools such as Mirth, SQL Squirrel, PACS, CIPS, NextGen EHR, or Epic Experience working with correctional or public health systems Strong background in healthcare data integration and reporting Education: Bachelor's degree in Computer Science, Information Systems, Data Analytics, or related field OR equivalent professional experience.