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Afternoon Data Analyst R Programming Jobs in Knightdale, NC

Atash Enterprises, LLC

EHR Data Analyst

Raleigh, NC · On-site

Work closely with cross-functional teams including data architects, developers, analysts, and clinical stakeholders to ensure data quality and system reliability. Education: Bachelor s degree in ...

New

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.

Redhat

Principal Data Analyst

Raleigh, NC · On-site +1

$125K - $180K/yr

... engineers to implement data solutions and pipelines integrating data between platforms. #LI-DNI The salary range for this position is $125,653 - $180,000/year. Actual offer will be based on your ...

Red Hat, Inc.

Principal Data Analyst

Raleigh, NC · On-site

$125K - $180K/yr

Collaborating with platform administrators, system analysts and data engineers to implement data solutions and pipelines integrating data between platforms. The salary range for this position is $125 ...

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

Afternoon Data Analyst R Programming information

See Knightdale, NC salary details

$30.6K

$74.4K

$122.4K

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

As of Sep 11, 2026, the average yearly pay for afternoon data analyst r programming in Knightdale, NC is $74,395.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,300.00 and $87,300.00 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 job categories do people searching Afternoon Data Analyst R Programming jobs in Knightdale, NC look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Knightdale, NC are:

What cities near Knightdale, NC are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Knightdale, NC 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 Knightdale, NC 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 $74,395 per year, or $35.8 per hour.

EHR Data Analyst

Raleigh, NC • On-site

Innosoul inc
11 - 50 employees
Learn more about Innosoul incexternal

Other

Posted 2 days ago

New

Job description

Job ID: NC-806867

Hybrid/Local EHR Data Analyst/Architect (15+) with SQL/SAS, InterSystems HealthShare, EHR, clinical data, HL7, C-CDA, ETL, HIE/HIPAA experience

Location: Raleigh, NC (NCDIT-HIEA)
Duration: 9 Months

Skills:
SQL, SAS & InterSystems HealthShare core technical toolset for queries, analytics, and data platforms Required 5 Years
EHR systems & clinical data expertise SME-level knowledge of EHR architecture, HL7 v2, and C-CDA standards Required 5 Years
ETL & data analysis validating extracts, monitoring load jobs, transforming data, business reporting Required 5 Years
HIE data standards & HIPAA compliance health information exchange formats and regulatory knowledge Required 5 Years
Technical leadership leading complex EHR integration analyses and cross-functional coordination Required 5 Years

Description:
Typical Experience: 84+ months

This role will lead technical assistance work for NC HIEA as we work with participants and their electronic health record (EHR) vendors on implementing, improving, and maintaining data integrations. Supports and monitors technical infrastructure for NC HIEA and SAS environments. Manages change orders, bug fixes and updates for the NC HealthConnex Clinical Portal. Develops and supports data queries to assist with data analysis, verifying data extracts, data transformation, load job streams, and developing business analysis reports. Supports various analytic and outbound data services with a specific focus on developing Queries utilizing SQL, SAS, and InterSystems HealthShare tools to perform exploratory data analysis (EDA) and reports as needed.

The ideal candidate will have:
Strong written and verbal communication skills, including the ability to interact and communicate effectively with non-technical stakeholders
Experience with SQL, SAS, and InterSystems HealthShare
The ability to lead technical analyses across complex electronic health record (EHR) integrations
Subject matter expert (SME) level of knowledge working with clinical data, EHRs, HL7 v2, and C-CDA messages
Mature knowledge of health information exchange data standards and formats, including knowledge of EHRs data architecture
Experience with analyzing and documenting clinical processes and requirement specifications for health data exchange
Understanding of general IT architecture principles, technical designs and specification documents
Knowledge of HIPAA and health care regulatory compliance as they relate to EHR systems and Health Information Exchange (HIE)
Experience developing training materials or end user reports with regard to clinical data and clinical systems workflows

Duties include but are not limited to:
Maintain and support technical infrastructure for NC HIEA and SAS platforms, ensuring high availability and performance.
Ensure stability and performance of data exchange systems and applications.
Manage and coordinate change orders, bug fixes, and enhancements for the NC HealthConnex Clinical Portal.
Develop and support complex data queries to assist with data validation, transformation, and reporting. Verify data extracts and monitor ETL (extract, transform, load) job streams. Generate business analysis reports based on internal and external data requirements.
Use SQL, SAS, and InterSystems HealthShare tools to perform data exploration and generate insights for various analytic and outbound services.
Lead technical analysis efforts, bringing detailed knowledge of EHR systems and data integration methodologies.
Work closely with cross-functional teams including data architects, developers, analysts, and clinical stakeholders to ensure data quality and system reliability.

Education:
Bachelor s degree in Computer Science, Information Technology, Health Informatics, or related field (or equivalent experience).
Minimum of 3 years of experience as a technical analyst, data engineer, or related role involving healthcare data and analytics.

Apply