ZipRecruiter

Log In

1

Afternoon Data Analyst R Programming Jobs in Raleigh, NC

Fidelity Investments

Senior IT Data Analyst

Durham, NC · On-site

$83K - $104K/yr

You will partner with Business Stakeholders, Product Owners, Architecture, and Engineering teams to: * Analyze business and operational data needs * Understand upstream and downstream data flows

NC SECU

Senior Learning Data Analyst

Raleigh, NC

$83K - $105K/yr

Responsibilities: 30% Analyzing data from various sources such as employee feedback surveys ... learning developers. Job Environment & Physical Requirements: -Sitting for prolonged periods ...

UL Solutions

Associate Business Data Analyst

Raleigh, NC · On-site

$60K - $75K/yr

UL Solutions is looking for an Associate Business Data Analyst to help develop data, analytics, and reporting solutions that empower stakeholders across the organization. In this role, you'll build ...

Varsity Tutors

Data Science Tutor

Raleigh, NC · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Chapel Hill, NC · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Durham, NC · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

next page

Showing results 1-20

All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Raleigh, NC

Afternoon Data Analyst R Programming information

See Raleigh, NC salary details

$33.1K

$80.3K

$132.2K

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

As of Jul 9, 2026, the average yearly pay for afternoon data analyst r programming in Raleigh, NC is $80,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $94,300.00 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 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 are the key skills and qualifications needed to thrive as an Afternoon Data Analyst specializing in R Programming, and why are they important?

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 the most commonly searched types of Data Analyst R Programming jobs in Raleigh, NC? The most popular types of Data Analyst R Programming jobs in Raleigh, NC are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Raleigh, NC? For Afternoon Data Analyst R Programming jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Raleigh, NC look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Afternoon Data Analyst R Programming jobs? Cities near Raleigh, NC with the most Afternoon Data Analyst R Programming job openings:
Afternoon Data Analyst R Programming jobs near you

Statistical Programmer / Clinical Data Architect

Volto USA

Raleigh, NC • On-site

Contractor

Re-posted 6 days ago

Job description

Job Description: Local to Raleigh, NC  Only!
Role Overview
We are seeking a highly experienced Senior Statistical Programmer / Clinical Data Architect with 15+ years of expertise in clinical data programming, CDISC standards, and cloud-based analytics platforms. The ideal candidate will lead end-to-end clinical data workflows, regulatory submissions, and modern data platform transformations in GxP-regulated environments.
This role requires strong domain expertise in SDTM, ADaM, regulatory submissions, and SAS/Python/R programming, combined with experience in cloud platforms (AWS/Azure) and clinical data modernization initiatives.
________________________________________
Key Responsibilities
Clinical Data Programming & Regulatory Submissions
•       Design, develop, and validate SDTM and ADaM datasets in compliance with CDISC standards
•       Lead generation of define.xml, aCRF/eCRF annotations, and submission-ready deliverables
•       Develop and optimize automated submission pipelines for FDA and global regulatory authorities
•       Ensure compliance with GxP, 21 CFR Part 11, HIPAA, and ICH E6 guidelines
Data Engineering & Automation
•       Architect and implement end-to-end clinical data pipelines using SAS, Python, and R
•       Develop reusable SAS macro libraries and automation frameworks
•       Build scalable data pipelines including modern formats (JSON/XPT alternatives)
•       Drive migration from legacy systems to modern data architectures
Cloud & Platform Engineering
•       Lead implementation and optimization of SAS Viya platforms on AWS/Azure
•       Manage cloud infrastructure components (EKS, EC2, EFS, FSx, Databricks, etc.)
•       Implement FinOps practices for cost governance and optimization
•       Evaluate and onboard next-gen analytics platforms (e.g., Databricks)
Leadership & Stakeholder Management
•       Lead cross-functional teams across US, UK, and offshore locations
•       Collaborate with clinical, statistical, regulatory, and IT stakeholders
•       Drive Agile delivery and sprint planning for data and platform initiatives
•       Manage vendor relationships, tool selection, and licensing strategies
Compliance & Governance
•       Ensure adherence to regulatory and audit requirements (FDA, OCC, SOX, Basel III as applicable)
•       Maintain audit-ready documentation and validation processes
•       Implement data governance, traceability, and reproducibility standards
________________________________________
Required Qualifications
•       Bachelor’s or Master’s degree in Computer Science, Statistics, Life Sciences, or related field
•       15+ years of experience in statistical programming and clinical data management
•       Strong expertise in:
o       SAS (Base, Macro, SQL, ODS, STAT, Graph)
o       CDISC standards (SDTM, ADaM, define.xml)
o       Regulatory submissions (FDA, global agencies)
•       Hands-on experience with:
o       Python (Pandas) and/or R (admiral, Shiny)
o       Cloud platforms (AWS/Azure)
•       Strong understanding of GxP and clinical compliance frameworks
________________________________________
Preferred Qualifications
•       Experience with SAS Viya architecture and administration
•       Familiarity with Databricks, DBT, or modern data engineering tools
•       Knowledge of CI/CD tools (Jenkins, Git)
•       Experience in financial/regulatory environments (Basel III, CCAR, OCC) is a plus
•       AWS or cloud certifications
________________________________________
Key Skills
•       Clinical Data Standards: SDTM, ADaM, CDISC
•       Programming: SAS, Python, R, SQL
•       Cloud: AWS, Azure
•       Tools: Pinnacle 21, Git, Jenkins, Power BI, Grafana
•       Methodologies: Agile, DevOps, Data Governance