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Afternoon Data Analyst R Programming Jobs in Clayton, NC

... R Programming, Python, Spark • Statistical & Data Management Packages - Python - Pandas, Numpy ... Analytics and Project management in Banking and Financial Services • Expertise in Predictive ...

Data Analyst

Raleigh, NC · On-site

$27 - $28/hr

Data Analytics / Data Engineer Contractor This role supports two major system overhaul projects and is expected to last at least 6 months, likely closer to 12 months. The manager is seeking someone ...

Data Analyst

Wilson, NC · Hybrid

$35 - $39.42/hr

Quest Global delivers world-class end-to-end engineering solutions by leveraging our deep industry ... Experience with SAP data extraction, analysis, and reporting * Strong working knowledge of SQL ...

Data Analyst

Wilson, NC · On-site

$35 - $39.42/hr

Quest Global delivers world-class end-to-end engineering solutions by leveraging our deep industry ... Experience with SAP data extraction, analysis, and reporting * Strong working knowledge of SQL ...

Data Analyst

Wilson, NC · Hybrid

$35 - $39.42/hr

Quest Global delivers world-class end-to-end engineering solutions by leveraging our deep industry ... Experience with SAP data extraction, analysis, and reporting * Strong working knowledge of SQL ...

The successful candidate will collaborate with data architects, engineers, analysts, and business stakeholders to advance enterprise data capabilities and deliver exceptional digital experiences.

Data Analyst

Cary, NC · On-site +1

Associate's degree in information systems, business administration, programming, or equivalent work ... Researches and performs data analysis to disseminate specialized reports. * Researches and analyzes ...

Associate's degree in information systems, business administration, programming, or equivalent work ... Researches and performs data analysis to disseminate specialized reports. * Researches and analyzes ...

... programming, or equivalent work experience; Three years of experience in database management or ... Researches and performs data analysis to disseminate specialized reports. Researches and analyzes ...

Data Analyst

Cary, NC · On-site +1

Associate's degree in information systems, business administration, programming, or equivalent work ... Researches and performs data analysis to disseminate specialized reports. * Researches and analyzes ...

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.

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 ...

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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Afternoon Data Analyst R Programming information

See Clayton, NC salary details

$28.9K

$70.3K

$115.7K

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

As of Sep 10, 2026, the average yearly pay for afternoon data analyst r programming in Clayton, NC is $70,289.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,200.00 and $82,500.00 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 Clayton, NC look for?

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

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

Cities near Clayton, NC with the most Afternoon Data Analyst R Programming job openings:

Infographic showing various Afternoon Data Analyst R Programming job openings in Clayton, NC as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 13% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $70,289 per year, or $33.8 per hour.

AI ML Data Scientist

Cary, NC • On-site

ClifyX
Recruiting and Staffing Services • 51 - 200 employees

Full-time

Re-posted 17 days ago


Job description

Job Summary:
ClifyX is a company specializing in data science and analytics, and they are seeking an AI ML Data Scientist. The role requires expertise in predictive modeling and big data analytics, with a focus on implementing machine learning techniques to solve various business problems in the banking and financial services sector.
Responsibilities:
• Data Scientist with 5-10+ years of result-oriented, hands-on professional experience with a successful record of accomplishments in Data Science & Analytics and Project management in Banking and Financial Services.
• Expertise in Predictive Modeling and Big Data Analytics, Statistical model development, Implementations & Optimization techniques
• Proficiency in implementing Machine learning techniques -Regression, Decision Tree Learning, Neural networks, Random Forest and XGBoost-in various business problems (AML, fraud detection, mortgage default, foreclosure, credit risk management, price prediction and optimization)
• Strong leadership and capacity to work as a team player, as well as excellent communication skills
• Some knowledge on various aspects of Retail and Wholesale Consumer banking and US Mortgage Banking.
Qualifications:
Required:
• Machine Learning techniques
• Unsupervised - K-means Clustering, PCA - Dimension Reduction, Kernel Density Estimations
• Supervised - Regression, Decision Trees, Random forest, XG Boost algorithm
• Time series - Exponential models, Holt-Winters, ETS, Hybrid
• ARIMA & GARCH
• Deep Learning - Neural Network, Recurrent Neural Networks
• Database - SQL, Advance SQL, Oracle, NoSQL
• Data Science Languages - SAS, SAS Enterprise Miner, R Programming, Python, Spark
• Statistical & Data Management Packages - Python - Pandas, Numpy, sklearn, PyOdbc
• R- dplyr, car, caret, lubridate, zoo, Rminer, R-Odbc
• Visualization - Tableau, Shiny, ggplot2, dygraphs, matplotlib, seaborn
• Big Data Technologies - Spark (Pyspark & SparkR), Hadoop, Yarn
• PM Tools - MS Project, MS Visio, TFS, JIRA
• Cloud, Web frameworks & Virtualization - Azure, Flask, Docker & Kubernetes, Kafka
• 5-10+ years of result-oriented, hands-on professional experience with a successful record of accomplishments in Data Science & Analytics and Project management in Banking and Financial Services
• Expertise in Predictive Modeling and Big Data Analytics, Statistical model development, Implementations & Optimization techniques
• Proficiency in implementing Machine learning techniques - Regression, Decision Tree Learning, Neural networks, Random Forest and XGBoost-in various business problems (AML, fraud detection, mortgage default, foreclosure, credit risk management, price prediction and optimization)
• Strong leadership and capacity to work as a team player, as well as excellent communication skills
• Some knowledge on various aspects of Retail and Wholesale Consumer banking and US Mortgage Banking
Company:
ClifyX provides innovative business solutions which satisfy requirements for mission-critical reliability, scalability, interoperations. Founded in 1998, the company is headquartered in South Plainfield, USA, with a team of 501-1000 employees. The company is currently Late Stage.

ClifyX logo

About ClifyX

Sourced by ZipRecruiter

ClifyX is a well-established player in the IT Services sector that specializes in providing result-oriented technological solutions to a wide range of industrial verticals. Based in South Plainfield, New Jersey, ClifyX offers a comprehensive selection of IT services that include project staffing, application development, professional consulting, and other IT-based solutions. While the company's website, clifyx.com, does not divulge the exact founding date, it is clear that ClifyX has grown into a renowned name within their domain, thanks to their unwavering commitment to innovative practices. The company's mission statement revolves around harnessing the power of technology to assist their clientele in steering their respective businesses towards success.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

South Plainfield, NJ, US

Year founded

1998