ZipRecruiter

Log In

1

Afternoon Data Analyst R Programming Jobs in Apex, NC

GSK

Principal Statistical Programmer

Durham, NC · On-site

... data. Mentor junior programmers and influence programming approaches through strong technical ... Lead programming for studies, ensuring efficient development and validation of analysis packages.

Jobtailor

Data Scientist

Raleigh, NC · On-site

$110 - $170/hr

Strong programming skills in Python (PySpark, pandas, NumPy, scikit-learn, statsmodels, XGBoost), R (tidyverse, lme4, glmmTMB, glmnet, mgcv), and SQL for large-scale data analysis. * Experience with ...

New

previous page

Showing results 41-60

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

Afternoon Data Analyst R Programming information

See Apex, NC salary details

$25.9K

$63K

$103.6K

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

As of Aug 8, 2026, the average yearly pay for afternoon data analyst r programming in Apex, NC is $62,968.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,600.00 and $73,900.00 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?

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 job categories do people searching Afternoon Data Analyst R Programming jobs in Apex, NC look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Apex, NC are:
What cities near Apex, NC are hiring for Afternoon Data Analyst R Programming jobs? Cities near Apex, 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 Apex, NC as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $62,968 per year, or $30.3 per hour.

NCDIT - Electronic Health Records Data Quality Analyst- Mid Level

Expert Technology Services

Raleigh, NC • On-site

Contractor

Posted 7 days ago

Job description


Sample Role Types:

Healthcare Systems Analyst, EHR Optimization Specialist, Health IT Analyst

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.

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.

  Required/Desired Skills   SkillRequired /DesiredAmountof ExperienceEffective Communication & Community Engagement Clearly conveys information to diverse populations and healthcare stakeholdersRequired5YearsTechnical Proficiency Skilled in healthcare data systems, digital platforms, and outreach technologiesRequired5YearsRelationship Building Build trust with providers, patients, and partners to support outreach goalsRequired5YearsData-Driven Outreach Gathers, analyzes, and reports data to guide strategic engagementRequired3YearsOrganized & Adaptable Manages multiple priorities and adjusts to evolving community and technical needRequired3Years