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Afternoon Data Analyst R Programming Jobs in Kentucky

Data Analyst Senior

Lexington, KY

$81K - $103K/yr

Confer with systems analysts, engineers, programmers, and others to design applications that assess the validity of source data and subsequent findings. Identify hidden patterns or relationships in ...

Data Analyst Senior

Lexington, KY ยท On-site

$81K - $103K/yr

The analyst will locate novel data sources, apply rigorous statistical methods, and deliver ... Knowledge of programming language structures/logic and query languages such as SQL and object ...

Data Analyst Senior

Lexington, KY ยท On-site

$81K - $103K/yr

Confer with systems analysts, engineers, programmers, and others to design applications that assess the validity of source data and subsequent findings. Identify hidden patterns or relationships in ...

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 ...

Data Science Tutor

Lexington, KY ยท Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Louisville, KY ยท Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Sr. Data, Reporting Analyst

Louisville, KY ยท On-site

$78K - $99K/yr

As a Sr. Data & Reporting Analyst, your primary focus will be on transforming complex data into ... Data Engineers and Database Administrators. * Create and maintain data models, report datasets ...

$73K - $93K/yr

Data Management & Analysis: Develops and advances a comprehensive workforce analytics program that improves data availability, automation, and decision support. Evaluates emerging analytics ...

Expertise in programming languages such as Python, R, or similar programming languages for data analysis. * Proficiency with data manipulation tools (e.g., SQL, Pandas, Spark) and machine learning ...

Data Governance- Manager

Louisville, KY ยท On-site

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Data Architect

Verona, KY ยท On-site +1

$59 - $75.75/hr

We are an engineering and innovation company working in different areas. Within the IT sector we ... Apache Kafka * R * BBDD SQL * Metodologias Agiles: SCRUM * Machine learning * Big Data ...

Big Data Architect

Louisville, KY

$61.25 - $78.75/hr

Big Data Architect Location : Louisville, KY Duration: Full Time : 10-15 yrs. total experience in ... Python, Scala, Kafka, Ambari, R and provide analytical solutions Hands on experience in ...

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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 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, and why are they important?

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 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 are popular job titles related to Afternoon Data Analyst R Programming jobs in Kentucky? For Afternoon Data Analyst R Programming jobs in Kentucky, the most frequently searched job titles 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:
Infographic showing various Afternoon Data Analyst R Programming job openings in Kentucky as of July 2026, with employment types broken down into 1% As Needed, 56% Full Time, 34% Part Time, 1% Temporary, 2% Contract, and 6% Nights. Highlights an 99% Physical, and 1% Remote job distribution.

Contractor

Re-posted 15 days ago


Job description

Data Analyst II | Lexington, Kentucky, United States [About the Role] Join our dynamic team in Lexington, KY, as a Data Analyst II. In this hybrid contract position, you'll work onsite during training, then transition to a flexible schedule. You'll play a pivotal role in transforming raw data into actionable insights that drive business decisions for critical ERP management processes. This is a fantastic opportunity to develop your skills with leading technologies like Oracle, SAP, and Maximo, while gaining exposure to impactful business operations. [Responsibilities] - Aggregate, cleanse, and analyze complex datasets from multiple sources to support ERP management - Build and report on key business performance indicators related to financials, material tracking, and end-to-end communication - Support regulatory and customer reporting, ensuring accuracy and compliance - Collaborate with project teams to provide business-critical data analyses and reporting - Extract meaningful insights to inform strategic business decisions [Required Skills and Experience] - Bachelor's degree in data science, computer science, or a similar field - 2-5 years of hands-on experience in data analytics or data science - Proficiency with Microsoft Office Suite, Oracle, and SAP - Proven ability to compile, cleanse, and prepare large datasets for analysis - Strong analytical mindset with a track record of deriving insights from complex data [Preferred Skills] - Experience with Maximo - Background in warehousing or inventory analytics - Engineering or technical training [Benefits] - Hybrid work model after initial training - Exposure to advanced ERP systems and high-impact business projects - Professional growth opportunities in data analytics and business intelligence - Collaborative and supportive team environment [How to Apply] Ready to advance your data analytics career? Submit your updated resume and a brief cover letter detailing your relevant experience. We're excited to see how you can make a difference in our data-driven organization! :

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About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US