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Afternoon Data Analyst R Programming Jobs in Camden, SC

Pwc

AI Engineer

Columbia, SC · On-site

$50K - $112K/yr

... AI Engineer, you will be at the forefront of transforming raw data into actionable insights ... data analysis techniques to discern patterns and trends - Collaborating with team members to ...

Unum UK

Data Scientist II - CX Analytics

Columbia, SC · On-site +1

We are seeking a Data Scientist II to join the CX Analytics team within our Customer Experience ... Programming & Process automation: Experience with file I/O, database integrations, and APIs to ...

Ask IT consulting

Data Architect

Columbia, SC

$59 - $75.75/hr

Facilitates consistent business analysis, data acquisition and access analysis and design, Database ... Sql Databases, .Net Programming, Nintex Workflow Designer Additional Information All your ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Camden, SC

Afternoon Data Analyst R Programming information

See Camden, SC salary details

$27.8K

$67.6K

$111.2K

How much do afternoon data analyst r programming jobs pay per year?

As of Aug 18, 2026, the average yearly pay for afternoon data analyst r programming in Camden, SC is $67,569.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,100.00 and $79,300.00 per year, depending on experience, location, and employer.

What is an afternoon data analyst r programming?

An Afternoon Data Analyst specializing in R Programming is a data professional who primarily works afternoon shifts and uses the R programming language to analyze, interpret, and visualize data. Their responsibilities typically include cleaning data, performing statistical analyses, and generating reports to support business decisions. They may work across various industries, collaborating with teams to provide insights and automate data processes using R. Afternoon shifts can be ideal for organizations that operate globally or require data support outside standard business hours. Proficiency in R, statistical techniques, and data visualization tools are essential skills for this role.

What are the key skills and qualifications needed to thrive as an afternoon data analyst specializing in R programming?

To thrive as an Afternoon Data Analyst specializing in R Programming, you need a strong background in statistics, data analysis, and proficiency with R, often supported by a degree in a quantitative field. Experience with data visualization tools, R packages (like tidyverse), and familiarity with databases or version control systems (such as Git) is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and presenting insights to stakeholders. These skills ensure accurate data-driven decisions, efficient workflow, and the ability to translate complex data into actionable business strategies.

What are some common challenges faced by afternoon data analysts working with R programming, and how can they be addressed?

Afternoon Data Analysts using R Programming often encounter challenges such as handling large datasets efficiently, ensuring code reproducibility, and collaborating with team members across different shifts. To address these, it's helpful to utilize R packages designed for big data (like data.table or dplyr), maintain clear and well-documented scripts, and use version control systems like Git for seamless collaboration. Regular communication with team members during shift handovers and leveraging collaborative tools can also enhance workflow and reduce misunderstandings.

What is the difference between Afternoon Data Analyst R Programming vs Morning Data Analyst R Programming?

AspectAfternoon Data Analyst R ProgrammingMorning Data Analyst R Programming
Required CredentialsBachelor's in Data Science, Statistics, or related field; R programming skillsBachelor's in Data Science, Statistics, or related field; R programming skills
Work EnvironmentTypically in office settings, working during afternoon hoursOffice environment, working during morning hours
Employer & Industry UsageUsed in industries with shift-based operations like finance, healthcareCommon in similar industries, often with flexible scheduling
Search & Comparison IntentPeople comparing different shift roles or schedules in data analysisSimilar search intent focusing on shift timing differences

The main difference between Afternoon Data Analyst R Programming and Morning Data Analyst R Programming lies in their work hours. Both roles require similar skills, credentials, and are used in comparable industries. The choice depends on personal schedule preferences and employer shift structures.

What cities near Camden, SC are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Camden, SC with the most Afternoon Data Analyst R Programming job openings:

Afternoon Data Analyst R Programming jobs near you
Infographic showing various Afternoon Data Analyst R Programming job openings in Camden, SC as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $67,569 per year, or $32.5 per hour.

API Developer & Application Analyst - Epic - Contract - Remote

SUNSHINE ENTERPRISE USA LLC

Columbia, SC • Remote

Full-time

Re-posted 18 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

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