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Afternoon Data Analyst R Programming Jobs in Kentucky

KY ยท On-site

... data analysis. This role will provide technical leadership, mentor statistical programmers, and ... Statistical analyses * Good knowledge of R programming and other statistical programming languages ...

Apply NLP techniques and prompt engineering to build conversational and generative AI systems ... Proficiency with Python, R, SQL, or similar tools to manipulate large, complex healthcare data sets ...

$69 - $99/hr

This role involves working closely with stakeholders, end-users, project managers, and developers to ensure that software applications are designed to meet business needs. The Senior Data Analyst ...

New

... data analysis. This role will provide technical leadership, mentor statistical programmers, and ... Statistical analyses * Good knowledge of R programming and other statistical programming languages ...

Showing results 21-40

Afternoon Data Analyst R Programming information

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 are the most commonly searched types of Data Analyst R Programming jobs in Kentucky?

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

What job categories do people searching Afternoon Data Analyst R Programming jobs in Kentucky look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Kentucky are:

What cities in Kentucky are hiring for Afternoon Data Analyst R Programming jobs?

Cities in Kentucky with the most Afternoon Data Analyst R Programming job openings:

Infographic showing various Afternoon Data Analyst R Programming job openings in Kentucky as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Business / Data Analyst - Intermediate

Designeers Midwest

Lexington, KY โ€ข On-site

Contractor

Re-posted 21 days ago


Job description

Company Description

In 1966, Designeers Midwest began providing technical contract employee support to the electronics and manufacturing industries in the Greater Cincinnati area. We represented job opportunities and recruited for permanent and long-term temporary employees, known as "contract employees". Over the decades, we have expanded our employment services and territory but our goal has remained the same: to build a strong record of excellent service by partnering with our clients and understanding their needs. Our knowledge of technical engineering and design sets us apart from other recruiting and staffing agencies and now Designeers Midwest serves clients large and small from coast to coast.

Our contract personnel include Engineers and Designers skilled in Mechanical, Electrical, Instrumentation, Electronic, Chemical, Process, and Structural / Architectural disciplines. Our Scientific Professionals serve the Chemical, Pharmaceutical, Environmental and Medical fields. In addition, we also provide administrative personnel with experience in technical engineering and scientific environments.

Job Description

Business / Data Analyst - Intermediate

Responsible for analysis and evaluation of user business problems and development of system recommendations to meet requirements. Assignments typically include problem definition, evaluation of requirements, and implementation of systems and analysis to meet business and user requirements.ย 
He/She will also provide implementation support with the on-going development and delivery of various business documents. The BA will be working on enterprise-sized projects that may encompass multiple levels of Data Analysisย 
KEY METRICS:ย 
Effectiveness and efficiency of data analysisย 
Provide Business with results of statistical and operational analysisย 
Personal skills development and ability to improve skills of peers and sales team membersย 
ROLES AND RESPONSIBILITIES:ย 
Entry and/or QA of data collectedย 
This is a Finance Role primarily supporting Sales Team.ย 
Production of current state maps with data representing a client's current output environment.ย 
EXPERIENCE AND BACKGROUND:ย 
TECHNICAL COMPETENCE:ย 
Must be proficient in Microsoft Access and Microsoft Excelย 
Strong written communications skillsย 
Fluency in the English language, both verbal and writtenย 
PERSONAL CHARACTERISTICS:ย 
High energy level, comfortable performing multifaceted projects in conjunction with normal activitiesย 
Strong analytical and reasoning abilities. Mindset that enables solving complex problems in a fast-paced environment.

Additional Information

All your information will be kept confidential according to EEO guidelines.