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Data Analyst R Programming Jobs in North Carolina

TIAA

Lead Data Analyst

Charlotte, NC · On-site

$119K - $146K/yr

The Lead Data Analyst oversees the collection of data sources, as well as the analysis and ... Sedentary Work Career Level 8IC Required: * 3+ years of SQL * 3+ years of coding/programming in ...

DPDHL

Business Data Analyst II

China Grove, NC · On-site

$55K - $90K/yr

The Business Data Analyst II role has a national salary range of $55,000 - $90,000. For roles ... Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean ...

1 point system

Fabric Data Analyst

Charlotte, NC · On-site

Process Analysis & SME Partnership * Partner with Market Risk and Counterparty Risk SMEs to ... Data & Technology Engineering Oversight * Work with large-scale relational datasets, risk ...

CYNET SYSTEMS

Product / Data Analyst

Charlotte, NC · On-site

$37 - $42/hr

Perform data analysis using SQL to support organizational objectives. * Lead and support team ... We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and ...

CYNET SYSTEMS

Business Data Analyst

Cary, NC · On-site

$60 - $65/hr

Basic knowledge of writing syntaxes and a solid background in programming languages. * Strong ... Data Mapping. * UML. * Data Flow Modeling. * Workflow Analysis. * Functional Decomposition.

ProSidian Consulting

NC · On-site

... Engineering | Environmental | Sustainability | and Human Capital. We help forward-thinking clients ... Skilled in SPSS, R, or similar tools. * Strong ability to interpret complex data sets. Competencies ...

ClifyX

Data Analyst/Scientist

Charlotte, NC · On-site

ClifyX is seeking a Data Analyst/Scientist to support Duke Energy in tracking and reporting on key ... Required : • 4 years degree in STEM, engineering related field. Or equivalent experience. • ...

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All JobsData Analyst R Programming JobsData Analyst R Programming Jobs in North Carolina

Data Analyst R Programming information

See North Carolina salary details

$30.9K

$75.1K

$123.6K

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

As of Sep 10, 2026, the average yearly pay for data analyst r programming in North Carolina is $75,103.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,800.00 and $88,200.00 per year, depending on experience, location, and employer.

What is a data analyst r programming?

A Data Analyst specializing in R Programming uses the R language to analyze, visualize, and interpret data to support business decisions. This role involves cleaning and transforming data, performing statistical analysis, and creating data visualizations or reports. Analysts in this field often work with databases, machine learning models, and automation tasks using R packages like dplyr, ggplot2, and tidyr. They typically collaborate with stakeholders to extract insights and communicate findings in a meaningful way.

What are typical projects or daily tasks for a data analyst r programming?

As a Data Analyst with expertise in R Programming, your typical responsibilities include cleaning and preparing large datasets, conducting statistical analyses, and creating visualizations to support business decisions. You’ll frequently use R to automate data processing workflows, generate reports, and explore insights, collaborating closely with data scientists, business analysts, and department managers. Projects may range from market trend analysis and customer segmentation to developing predictive models for operational improvements. This role often involves both independent analytical work and active participation in cross-functional meetings to present findings and recommendations.

What are the key skills and qualifications needed to thrive in the data analyst r programming position, and why are they important?

To excel as a Data Analyst R Programming, you need strong analytical abilities, proficiency in statistical analysis, and hands-on experience with R, often supported by a degree in statistics, mathematics, or a related field. Familiarity with R libraries (such as dplyr, ggplot2), databases (like SQL), and data visualization tools, as well as potential certifications in data analysis or R programming, are highly beneficial. Exceptional problem-solving skills, attention to detail, and clear communication will set you apart when interpreting data and sharing insights with stakeholders. These capabilities are essential for turning raw data into actionable business insights, ensuring data-driven decisions, and fostering collaborative project success.

What are the most commonly searched types of Data Analyst R Programming jobs in North Carolina?

The most popular types of Data Analyst R Programming jobs in North Carolina are:

What are popular job titles related to Data Analyst R Programming jobs in North Carolina?

For Data Analyst R Programming jobs in North Carolina, the most frequently searched job titles are:

What job categories do people searching Data Analyst R Programming jobs in North Carolina look for?

The top searched job categories for Data Analyst R Programming jobs in North Carolina are:

What cities in North Carolina are hiring for Data Analyst R Programming jobs?

Cities in North Carolina with the most Data Analyst R Programming job openings:

Data Analyst R Programming jobs near you
Infographic showing various Data Analyst R Programming job openings in North Carolina as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 81% Full Time, 13% Part Time, and 4% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $75,103 per year, or $36.1 per hour.

Statistical Programmer / Clinical Data Architect

Raleigh, NC • On-site

Volto USA
See more jobs at Volto USAexternal

Contractor

Re-posted 10 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